Skyline Custom Reports and Results Grid

Size: px
Start display at page:

Download "Skyline Custom Reports and Results Grid"

Transcription

1 Skyline Custm Reprts and Results Grid The Skyline Targeted Prtemics Envirnment prvides infrmative visual displays f the raw mass spectrmeter data yu imprt int yur Skyline dcuments. It allws yu t wrk with this data, t refine the peptides and transitins yu are measuring and t tune integratin bundaries. A rich variety f calculated values and statistics may be exprted frm yur Skyline dcument t a tabular cmma separated value (CSV) file perfect fr further analysis in tls like Excel and R. The Skyline Results Grid displays many f these values and allws yu t edit custm anntatins as yu wrk with yur data. The first part f this tutrial will fcus n Skyline custm reprts. Yu will learn hw they can be designed, shared and used t exprt raw values and summary statistics frm yur Skyline dcuments. Exprted reprts can be used in the fllwing ways: Deeper statistical analysis in tls like Excel r R Brader statistical analysis acrss multiple experiments and/r labratries Enfrcing instrument quality cntrl with summary statistics Prviding an input frmat fr ther custm build sftware tls Prviding an imprt frmat suited t relatinal data repsitries In develping Skyline we aim t create a vendr neutral platfrm fr targeted prtemics investigatin. Skyline can exprt similar custm reprts fr dcuments ppulated with the data frm Agilent, AB Sciex, Therm Scientific and Waters instruments. The ability t create cnsistent reprts acrss instrument platfrms greatly facilitates crss instrument cmparisns and large multi site studies. Understanding hw t create custm reprts, tailred t yur wn experiments, is critical and described in detail in this Skyline custm reprts tutrial. The secnd part f this tutrial will fcus n the Results Grid view in Skyline, which prvides real time access t many f the data fields available in the custm reprts. Yu will learn t custmize clumns in the Results Grid fr immediate access t imprtant values, as yu inspect and refine yur mass spectrmeter utput in Skyline. Yu will als learn t wrk with custm anntatins t prvide a cntrlled vcabulary fr further interpretatin f and human interactin with yur results, which can als be exprted in custm reprts. Getting Started T start this tutrial, dwnlad the fllwing ZIP file: 1

2 Extract the files in it t a flder n yur cmputer, like: C:\Users\brendanx\Dcuments This will create a new flder: C:\Users\brendanx\Dcuments\CustmReprts Nw pen the Study7_example.sky file in this new flder by duble clicking, r by using Open n the File menu in a running instance f Skyline. Data Overview The dataset in Study7_example.sky is a subset f a study that was perfrmed by the Clinical Prtemics Technlgy Assessment fr Cancer (CPTAC) cnsrtium (T. Addna et al Multi site assessment f the precisin and reprducibility f multiple reactin mnitring based measurements f prteins in plasma, Nature Bitechnlgy, 2009, 27, ). This particular study describes a calibratin curve at different cncentratins f analyte peptides and a cnstant spike in level f their crrespnding istpe labeled internal standards. The Skyline file displays data frm a subset f CPTAC Study 7.2 data (in the paper referred t as Study II ) acquired at ne CPTAC site. The Skyline file shws data fr 10 different peptide sequences mnitred by LC MRM MS with cncentratins fr the analyte prteins (see light peptides) ranging frm cncentratins at 500 fml t 2.92 fml (replicates J: 500 fml; I: 275 fml; H: 151 fml; G: 83 fml; F: 46 fml; E: 25 fml; and D: 8.55 fml lwer cncentratin pints althugh acquired are nt included in this tutrial). Heavy internal standard (IS) peptides are each spiked in at a cncentratin f 50 fml. T get a first impressin what this dataset lks like perfrm the fllwing steps: Click n the HGFLPR peptide t highlight it. On the View menu, chse Peak Areas, and then click Replicate Cmparisns. A new windw appears that shws peak area fr each replicate. The blue bars represent the heavy labeled versin f this peptide (always spiked in at 50 fml), and the red bars represent the light analyte at varying cncentratins (each cncentratin pint was acquired in technical quadruplicate). Other tutrials describe hw yu can view and edit dcuments like this ne. Fr the purpses f this tutrial, hwever, the Study7_example.sky dcument has received an initial integratin review, fully preparing if fr reprts t be exprted and used in deeper statistical analysis. Befre cntinuing with the rest f the tutrial: Clse the Peak Areas view. 2

3 Creating a Simple Custm Reprt T create yur first Skyline custm reprt template, perfrm the fllwing steps: On the File menu, chse Exprt, and click Reprt An Exprt Reprt frm will appear that will prbably list at least the Skyline default reprt templates shwn belw: Cntinue creating a new Skyline custm reprt template by perfrming the fllwing steps: Click the Edit list buttn. In the Edit Reprts frm, click the Add buttn. In Edit Reprt frm, enter Overview in the Reprt Name field. The frm shuld nw lk like: 3

4 Expand the field grups Peptides and Results by clicking n the + buttn t see many mre fields that can be exprted. See Windw belw. Frm the expanded Peptides grup select the Sequence field. Click the Add buttn t add the PeptideSequence field t the reprt template clumn list, shwn n the right side f the frm. The frm shuld nw lk like: 4

5 Nte that the fields in the Edit Reprt frm, shwn abve, have a distinct hierarchical structure. At the highest level are the prtein specific exprt fields which are shwn at the bttm f the left bx (PrteinName, PrteinDescriptin, PrteinSequence, PrteinNte, and the expanded Results grup abve these that cntains the general fields ReplicateName, ReplicatePath, FileName and SampleName). Skyline custm reprts als prvide peptide specific exprt fields, cntained in the expanded Peptides grup at the tp f the left bx, such as Sequence and AverageMeasuredRetentinTime amng thers. The peptide fields include a PeptideResults grup, which is nt expanded yet. Als unexpanded is the Precursrs grup, which cntains precursr specific exprt fields, a PrecursrsResults grup, and finally a Transitins field grup. The Transitins grup, in turn, cntains the transitin specific exprt fields and a crrespnding TransitinResults grup, cntaining the mst detailed results values, such as Retentin Time, Fwhm, StartTime, EndTime, Area and Backgrund, frm which many f the higher level results field values are derived. In the Edit Reprt frm cntinue t add fields t yur first custm reprt template by perfrming the fllwing steps: Expand the Precursrs grup (lcated directly belw the expanded Peptides grup at the very tp) by clicking n the + icn. Expand the PrecursrResults grup field nw visible in the expanded Precursr grup. 5

6 Select IstpeLabelType field (marked belw with a red dt) frm the expanded Precursrs grup. (If necessary, scrll dwn r resize the frm.) Click the Add buttn t add IstpeLabelType t the reprt template clumn list. Repeat this prcedure t add the fllwing additinal fields frm the PrecursrResults grup t the reprt template clumn list: BestRetentinTime the RetentinTime value f the transitin with the highest maximum intensity fr the particular precursr TtalArea the summed Area values f all individual transitins fr the particular precursr (fr mre infrmatin n field values, see Glssary) Check the Pivt Replicate Name check bx in the lwer left crner f the Edit Reprt frm. This shuld leave the Edit Reprt frm lking like: Click the Preview buttn in the upper right crner f the Edit Reprt frm. The Preview Reprt frm shuld appear lking like: 6

7 The Preview functin is quite helpful when designing reprt templates. At times it may even serve as a quick substitute fr exprting a reprt t a file, since yu can select all f the values in the Preview Reprt frm by clicking the upper left rectangle. Pressing Ctrl C, then cpies the full reprt. After which, it can be pasted int anther tl, like Excel. The reprt preview displayed in part abve, fr replicates 7_2_D_01, and 7_2_D_02, shws precursr BestRetentinTime and TtalArea fr all 10 peptides in bth their light and heavy frm acrss all LC MRM MS acquisitins/experiments in the clumns t the right. By scrlling t the right, yu can see clumns fr all 28 LC MRM MS acquisitins. Maximize the Preview Reprt frm by clicking n the square in its upper right crner t see mre clumns. In this example 7_2_D_01, and 7_2_D_02 are taken frm samples at the same light analyte cncentratin. Therefre, TtalArea values are expected t be similar. Each letter D thrugh J indicates a different light analyte cncentratin. Each cncentratin was acquired in technical quadruplicate, indicated by numbers 01 thrugh 04. The heavy peptide cncentratins were held cnstant at 50 fml in all samples. Clse the Preview Reprt frm by clicking n the x in the upper right crner t return t the Edit Reprt frm again. T save this reprt template: Click the OK buttn. 7

8 Yu will see the new Overview reprt template appear in the Reprt template list. Click the OK buttn again t return t the Exprt Reprt frm. The new Overview reprt template is nw added t the Skyline reprt template list. The Exprt Reprt frm shuld nw lk like: 8

9 Frm the Exprt Reprt frm yu can nw exprt yur new reprt by selecting Overview in the Reprt list and clicking the Exprt buttn. Fr nw, click the Cancel buttn, dismissing all pen frms, in rder t start the prcess frm the riginal Skyline dcument view. Exprting Reprt Data t a File T exprt the reprt yu created and previewed abve t a CSV file, d the fllwing: On the File menu, chse Exprt, and click Reprt. Select Overview in the Reprt list f the Exprt Reprt. Click the Exprt buttn. Enter Overview_Study7_example.csv in the File name field f the Exprt Reprt save frm. Click the Save buttn. If yu switch t a Windws Explrer windw, shwing the CustmReprts flder yu created fr this tutrial, yu will see the Overview_Study7_example.csv file yu just created. Open it nw with Excel and cnfirm that its cntents are quite similar t the preview yu displayed earlier. Nte that the file cntains the clumn header names, which yu cannt get by simply cpying and pasting frm the preview frm. Sharing Reprt Templates Reprt Templates in Skyline are very flexible, easy t manage and mdify, and share with cllabratrs. There are many reasns yu might want t share a custm reprt template, whether yu are participating in a large multi labratry study r wrking with a single cllabratr, whether yur are prviding the prtemics cmmunity with yur wn custm tl that depends n particular fields frm Skyline dcuments r prviding supplementary infrmatin with a manuscript t allw thers t repeat yur prtcls. The Skyline supprt fr instruments frm multiple vendrs means yur shared reprt templates can be used t gather data frm multiple sites with different instrumentatin. T share the Skyline reprt template yu created in this tutrial, perfrm the fllwing steps: On the File menu, chse Exprt, and click Reprt. Click the Share buttn in the Exprt Reprt frm. Skyline will present the Save Reprt Definitins frm, as shwn belw: 9

10 Check Overview in the reprt definitins list. Click the OK buttn. Enter Overview in the File name field f the Save As frm. Click the Save buttn. The reprt template is saved t the file Overview.skyr in the CustmReprts flder created fr this tutrial. Yu culd nw share it with yur cllabratrs, with yur wn analysis tl r as supplementary data fr a manuscript. Managing Reprt Templates in Skyline T gain an understanding f hw thers wuld use the custm reprt template yu have nw created and shared, yu need t first delete it frm yur system. Then yu can add it back using the shared reprt file Overview.skyr that yu created in the previus sectin, as if yu had acquired this shared template frm anther surce. The Exprt Reprt frm shuld still be pen after the steps perfrmed in the previus sectin. T delete the Overview reprt template frm yur Skyline settings, d the fllwing: Click the Edit List buttn. Select the Overview item in the Reprt list f the Edit Reprts frm. The Edit Reprts frm shuld nw lk like: 10

11 Yu can use the Up and Dwn buttns t change the rder f the items in the Reprt list. T mve the Overview item t the bttm f the list, d the fllwing: Click the Dwn buttn twice. Click the Up buttn three times t mve the Overview item t the tp. T remve the Overview item frm the list, d the fllwing: Click the Remve buttn. Click the OK buttn. The Exprt Reprts frm shuld nw lk like: 11

12 Just as when yu first brught it up in this tutrial. T demnstrate hw yur cllabratrs wuld imprt a new reprt template int Skyline fllw the steps described belw: Click the Imprt buttn. Select the Overview.skyr file yu created earlier in the Open frm (which shuld still be shwing the cntents f the CustmReprts flder fr this tutrial). Click the Open buttn. These actins shuld add an Overview item back t the Reprt list in the Exprt Reprt frm. T verify that this is indeed the reprt yu saved, perfrm the fllwing steps: Select the Overview item in the Reprt list. Click the Preview buttn. Skyline will present a Preview Reprt frm cntaining the same values yu saw earlier in this tutrial. Mdifying Existing Reprt Templates Yu can, f curse, create much mre data rich reprts than the simple Overview reprt yu first created in this tutrial. Yu can d this by creating anther new reprt template, by editing yur existing Overview reprt, r, as shwn belw, by making a cpy f the Overview reprt and editing the cpy. T create a new, mre cmplex reprt frm a cpy f the Overview reprt template, perfrm the fllwing steps: 12

13 Click n Edit List buttn in the Exprt Reprt frm. Select the Overview item in the Reprt list. Click n the Cpy buttn. Skyline will present the Edit Reprt frm with the fields frm the Overview reprt template already added, as shwn belw: The reprt name fr this new reprt template has nt yet been assigned. T assign it nw: Enter Study 7 in the Reprt Name field. Cntinue t add mre fields as described belw by selecting each field and clicking the Add buttn in the middle t add each field t the clumn list fr yur reprt template, n the right side f the Edit Reprt frm: Expand the field grups Peptides and Results by clicking the + icns t their left. Frm the expanded Results grup, add the fllwing fields: FileName the name f the file frm which the data was imprted SampleName the sample name, if the data was imprted frm a multi sample WIFF file, r the file name again, if nt ReplicateName the replicate name assigned t the data during imprt 13

14 Frm the tp level add PrteinName. Frm the expanded Peptide grup, add the AverageMeasuredRetentinTime field the average retentin time ver all replicates. Expand the PeptideResults grup. Frm the expanded PeptideResults grup, add the fllwing fields: PeptideRetentinTime peptide RT fr each replicate run RatiTStandard area rati f light t heavy Expand the Precursrs grup. Frm the expanded Precursrs grup, add the fllwing fields: Charge (displayed in the clumn list as PrecursrCharge) Mz (displayed in the clumn list as PrecursrMz ) Expand the Transitins grup. Frm the expanded Transitins grup, add the fllwing fields: PrductCharge PrductMz FragmentIn the fragment in name (e.g. y8, y10, b7, etc.) Expand the PrecursrResults grup. Frm the expanded PrecursrResults grup, add the fllwing fields: MaxFhwm the maximum full width at half max (FWHM) f the transitins fr the particular precursr MinStartTime elutin time start at the baseline f a peak, which will be the same fr all transitins (Q1/Q3) frm the same precursr MaxEndTime elutin time start at the baseline f a peak, which will be the same fr all transitins (Q1/Q3) frm the same precursr Expand the TransitinResults grup. Frm the expanded TransitinResults grup, add the fllwing fields: RetentinTime retentin time at the maximum intensity fr a transitin peak Fwhm full width at half max fr the transitin peak StartTime retentin time at the starting transitin peak integratin bundary EndTime retentin time at the ending transitin peak integratin bundary Area area under the curve (AUC), minus backgrund, fr the transitin peak Height maximum intensity fr the transitin peak UserSetPeak indicates whether r nt (TRUE/FALSE) integratin brders fr a transitin were manually adjusted Als, uncheck the Pivt Replicate Name checkbx, at the bttm f the frm. The reprt template shuld nw cntain a lt mre detail than the riginal Overview reprt templat, and the Edit Reprt frm shuld lk like: 14

15 T rerder sme fields in this new reprt template, d the fllwing: Select PrteinName in the clumn list n the right. Click the up arrw n the far right until the PrteinName field is at the tp f the list. Yu can achieve whatever rdering suits yu best, in this way, using the up and dwn arrw buttns n the far right, and yu can remve fields yu may have added by mistake with the red X buttn abve the arrw buttns. This tutrial, hwever, will cntinue withut making any further changes t the clumn list. T preview the values fr the current dcument in the reprt template yu have created, d the fllwing: Click n the Preview buttn. 15

16 When yu have reviewed the data, clse the preview frm. With data like this, where each peptide has bth a light analyte and a matching heavy istpe labeled internal standard, it may be mre cnvenient t wrk with the data fr these paired precursrs all in a single rw t allw yu t cmpare matching transitin values mre easily. T make this change t the Study 7 reprt template, d the fllwing: Check the Pivt Istpe Label check bx. Click n the Preview buttn again t see hw the reprt preview has changed. All f the values fr matching light and heavy transitins have been added t the same rw. New clumns have been added t achieve this, and clumns specific t an istpe label type have been given the prefixes light and heavy. The Preview Reprt frm is shwn belw, scrlled t shw the transitin between light and heavy clumn names: Yu might ntice that the clumn heavy IstpeLabelType shws heavy n every rw, and that there is als a clumn light IstpeLabelType which shws light n every clumn. When yu are pivting n a clumn, it des nt add much t include it in yur clumn list. Clse the Preview Reprt frm, and d the fllwing t remve the IstpeLabelType field frm this reprt: 16

17 Select IstpeLabelType in the clumn list n the right. Click the red X buttn n the far right edge f the clumn list. Yu can click the Preview buttn again t verify that bth the light IstpeLabelType and the heavy IstpeLabelType clumns have been remved. The next step in this tutrial, hwever, is t save yur wrk by ding the fllwing: Click the OK buttn in the Edit Reprt frm. Click the OK buttn in the Edit Reprts frm. This will return yu t the Exprt Reprt frm, which shuld nw lk like: Frm here, yu culd nw cntinue t exprt the new Study 7 reprt t a CSV file by selecting it and clicking the Exprt buttn, r click Share buttn t create file fr sharing this new reprt. Fr this tutrial, hwever, click the Cancel buttn t return t the Study7_example dcument. Quality Cntrl Summary Reprts S far yu have created reprts based n the values Skyline ffers fr each imprted replicate f the peptides and transitins specified in a dcument. Skyline als prvides reprt fields with summary statistics acrss all imprted replicates. These summary fields are particularly suited t quality cntrl by ensuring that replicate QC runs shw gd reprducibility and cefficients f variatin (CV). Skyline reprt templates can be designed with mean values and CV ver all replicates fr key parameters, such as peak area, FWHM and retentin time. 17

18 This tutrial prvides a summary reprt template that yu will imprt int Skyline, but it als describes hw t design such a summary reprt template in the Edit Reprt frm. T get started, first pen a new dcument by ding the fllwing: On the File menu, click Open. Navigate t the CustmReprts flder yu created fr this tutrial. (may nt be necessary) Select the Study9pilt.sky file. Click the Open buttn. This file cntains data acquired by ne CPTAC site ver 5 LC MRM MS runs, injecting 10 analyte peptides at a cnstant cncentratin f 50 fml ver all 5 runs. Such a dataset culd ptentially be used t assess reprducibility f replicate injectins. T generate a summary reprt fr key quality cntrl metrics fllw the steps belw: On the File menu, chse Exprt, and click Reprt. Click the Imprt buttn in the Exprt Reprt frm. Select the Summary_stats.skyr file frm the CustmReprts flder in the Open frm. Click the Open buttn. A new reprt template named Summary Statistics shuld have been added t the Reprt list, and the Exprt Reprt frm shuld nw lk like: T see the reprt fields included in the Summary Statistics reprt template, d the fllwing: Click the Edit List Buttn in the Exprt Reprt frm. 18

19 Select Summary Statistics in the Reprt list f the Edit Reprts frm. Click the Edit Buttn. Skyline displays the Edit Reprt frm with many mean and CV field names in the reprt clumn list n the right. T see where these fields came frm, perfrm the fllwing steps: Expand the field grup Peptides by clicking n the + icn t its left. Expand the field grup Precursrs. Expand the field grup PrecursrResultsSummary. The Exprt Reprt frm shuld nw lk like the image belw (withut the blue dts, which are added t indicate the fields already added t this reprt template): T preview this reprt n the data in the current dcument: Click the Preview buttn in the Edit Reprt frm. 19

20 The Preview Reprt frm is shwn lking like: This reprt shws that the data in Study9pilt.sky, taken frm 5 replicate injectins f the same sample, prduce peptide CV values fr FWHM mstly belw 5% and TtalArea in mst cases under 10% as indicated fr the crrespnding clumns with red bxes. In additin, the clumn called RangeBestRetentinTime (red bx) lists the RT drift in minutes fr any specific peptide ver the 5 replicate injectins. In this case there is nly minimal RT drift (< 0.15 min, < 10 sec). These summary reprts can be used t flag quality cntrl issues early, befre they impact data acquired n imprtant samples. In this particular dataset, HPLC and MS seem t behave acceptably. In ne case, hwever, fr the peptide INDISHTQSVSAK (frm prtein LEP), the CV value fr TtalArea is 59.2% and fr FWHM is 23.5% (circled in red), significantly differing frm the CV values f all the ther peptides. T return t the Skyline dcument and inspect this peptide mre clsely, d the fllwing: Clse the Preview Reprt by clicking n the red X in the upper right crner. Click the Cancel buttn in the Edit Reprt frm. Click the Cancel buttn in the Edit Reprts frm. Click the Cancel buttn in the Exprt Reprt frm. Select the peptide INDISHTQSVSAK in the peptide tree view. On the View menu, chse Peak Areas, and click Replicate Cmparisn (F7). 20

21 The Peak Areas view, shwing the ttal peak area and the cntributin f each transitin fr all 5 replicates, help clarify the prblem that was indicated in the CV values f the summary reprt preview. Fr cmparisn, select several f the ther peptides. The Peak Areas view will shw much better peak area reprducibility, as indicated by their much lwer TtalArea CV values in the summary reprt preview, where the majrity f the peptides had CV values < 10%. Skyline summary reprts can be used with quality cntrl data t flag issues early, while Skyline itself prvides pwerful visual displays t help get t the rt f the prblem quickly. Results Grid View In sme cases, yu may want t see sme f the values presented in reprts while yu are editing the data, fr immediate access t raw values displayed in the Skyline charts. The Skyline Results Grid view prvides real time access t many f the data fields available in the custm reprts. In the final sectins f this tutrial, yu will learn t use the Results Grid t gain immediate access t imprtant values and t anntate yur data t capture imprtant human insights, as yu inspect and refine yur mass spectrmeter utput in Skyline. T get started using the Result Grid view, d the fllwing: On the View menu, click Results Grid (Alt F2). Skyline shuld nw lk smething like this: 21

22 Nw rearrange the windws fr better viewing, by ding the fllwing: Click the Results Grid captin and drag it t the bttm edge f the main windw t dck it. Click the Peak Areas captin and drag it t the right edge f the main windw t dck it. Click and drag the splitters between the varius windw panes t adjust the space allcatin. On the View menu, chse Aut Zm, and click Best Peak, if it is nt already selected. Select the precursr element belw the currently selected peptide. This shuld leave Skyline lking smething like: 22

23 Skyline keeps its charts and the Results Grid in synch as yu navigate the data. If yu click n ne f the ther rws in the Results Grid, Skyline changes the active chrmatgram replicate tab. It als changes which bar in the Peak Areas graph has the selectin rectangle arund it, as well as the selectin in the Replicates list abve the peptide tree view. Nw click n a different chrmatgram chart tab, bar in the Peak Areas chart, r change the selectin in the Replicates list. The ther views will update, including the selected rw in the Results Grid. The first clumn t the right f the Replicate Name clumn in the Results Grid is the Precursr Replicate Nte. This clumn allws yu t assciate a free text nte with the PrcursrResults field grup fr the selected precursr and replicate. Try typing Lw signal in the first rw with replicate name Rep1 fr the currently selected peptide. All f the ther clumns in the current Results Grid display are calculated by Skyline and cannt be edited, but yu can change which clumns get displayed and in what rder. Several f the clumns are scrlled ut f view in the image abve. T reduce the number f precursr results clumns being displayed, d the fllwing: Right click n the clumn headings, and click Chse Clumns. Uncheck the clumns Min Start Time, Max End Time and Library Dt Prduct. Click the OK buttn. T adjust the clumn rder, d the fllwing: 23

24 Click the Ttal Area clumn header and drag it t the left edge f the Precursr Replicate Nte clumn. Skyline shuld nw lk smething like: Yu can nw review the results fr ther precursrs by ding the fllwing: Click in the peptide tree view. Use the up and dwn arrw keys t change the selectin t ther precursr elements. Finally expand a precursr and review its transitins. Yu culd apply the same technique t custmize the clumns being displayed fr transitins. Instead, cntinue nw t the final sectin in this tutrial t learn hw t add a custm anntatin that yu can cntrl with the Results Grid, and later exprt in a Skyline reprt. Custm Anntatins Skyline supprts three types f custm anntatins: 1. Free text (similar t the Nte which is available by default n all types) 2. True/False 3. Value list 24

25 The last tw types can be used t cllect infrmatin in a cntrlled vcabulary, as yu prcess yur data, which can later be exprted in a Skyline reprt and used as input fr prgrammatic statistical analysis. T define a simple new True/False anntatin, perfrm the fllwing steps: On the Settings menu, click Anntatins. Click the Edit List buttn n the Anntatin Settings frm. Click the Add buttn n the Define Anntatins frm. Type Tailing in the Name field n the Define Anntatin frm. Select True/False in the Type field. Check the Precursr Results checkbx in the Applies T list. The Define Anntatin frm shuld nw lk like: Nw finish defining the anntatin and add it t yur dcument by ding the fllwing: Click the OK buttn n the Define Anntatin frm. Click the OK buttn n the Define Anntatins frm. Check the checkbx fr the new Tailing anntatin. The Anntatin Settings frm shuld nw lk like: 25

26 Click the OK buttn. Select the secnd t last precursr element fr the peptide ESDTSYVSLK. Yu shuld see the new Tailing clumn added as the last clumn in the Results Grid. Click n it and drag it t the left edge f the Precursr Replicate Nte clumn where it can be mre easily edited. Yu can als click and drag the lines between the clumn headers t resize the clumns fr easy viewing and editing. The Skyline windw shuld nw lk smething like: 26

27 The peaks in this dcument d nt have a lt f issues, but this ne des have sme peak tailing. Check the checkbx in the new Tailing clumn fr the Rep1 rw. Change selectin t each f the ther 5 rws. Decide whether yu think the tailing is wrth nting and check the checkbx, if yu think it is. Change the selected item in the precursr tree and then return t the precursr t verify that yur changes were recrded. Yu can nw exprt the new Tailing anntatin in a Skyline custm reprt. It will appear in the PrecursrResults field grup. Cnclusin This tutrial has intrduced yu t the flexible custm reprts Skyline ffers fr accessing the rich set f values assciated with yur Skyline targeted prtemics dcuments. These reprts ffer a smth path frm data analysis within Skyline t mre cmplex statistical analysis with Excel r custm prgrams in R, Matlab, Java r C++. Yu have learned abut summary statistics available thrugh these reprt templates, which can prvide quick indicatrs f data quality. Yu can share yur custm reprt templates with cllabratrs r as supplementary material in yur publicatins, helping thers t repeat yur analyses with new data sets even frm different instrumentatin, taking full advantage f the Skyline multi vendr supprt. Finally, yu learned hw t use the Skyline Results Grid t gain immediate access t many f the values available in Skyline reprts and t wrk with custm anntatins t add rich new infrmatin t yur dcuments. If yu were nt aware f these features befre, they will certainly increase the scpe f experiment yu can achieve with Skyline. 27

28 Glssary f Custm Reprt Fields Prteins (tp level): PrteinName Prtein Name as defined r entered int Skyline (in sme cases in cnjunctin with the accessin number). PrteinDescriptin When prteins are imprted int Skyline thrugh public FASTA sequence files, a Prtein Descriptin is prvided. Yu can see the Prtein Descriptin als when yu hver ver the prtein name in the peptide tree view. PrteinSequence When prteins are imprted int Skyline thrugh public FASTA sequence files the full prtein sequence is accessible. Yu can see the prtein sequence als when yu hver ver the prtein name in the peptide tree view. PrteinNte A free text nte assciated with the prtein by clicking Edit Nte n the Edit menu. Results (tp level): ReplicateName The replicate name assigned t the data during imprt. ReplicatePath Reserved fr future use. FileName The name f the file frm which the data was imprted. SampleName The sample name, if the data was imprted frm a multi sample WIFF file, r the file name again fr ther file types. MdifiedTime Last time and date at which the riginal mass spectrmeter file was mdified n disk. AcquiredTime Last time and date at which the mass spectrmeter began acquiring this replicate data. Or #N/A if the file was imprted with a versin lder than 1.1. Peptides: PeptideSequence Amin acid sequence f the peptide BeginPs The psitin f the first (N terminal) amin acid f the peptide within its cntaining prtein sequence, r #N/A if n prtein sequence is available. EndPs The psitin f the last (C terminal) amin acid f the peptide within its cntaining prtein sequence, r #N/A if n prtein sequence is available. PredictedRetentinTime The retentin time predicted by a retentin time regressin between a set f measured results and a retentin time calculatr (currently nly SSRCalc 3.0 is available), r #N/A if n retentin time regressin has been assigned. AverageMeasuredRetentinTime The average peptide retentin time ver all replicates. PeptideNte A free text nte assciated with the peptide by clicking Edit Nte n the Edit menu. PeptideResults (per replicate values): 28

29 PeptidePeakFundRati The rati f transitins fr which a peak was measured t the ttal number f transitins in the peptide. Peak indicatrs in the peptide tree view crrespnd t green = 1.0 (all transitins integrated), range >= 0.5, red < 0.5. PeptideRetentinTime Peptide retentin time fr each replicate run. RatiTStandard Peptide area rati f light t heavy. Precursrs: Charge/PrecursrCharge The charge assciated with the precursr in. IstpeLabelType A label type name assciated with the precursr in (light/heavy), indicating which istpe mdificatins are applied. PrecursrNeutralMass Neutral mass f the precursr in Daltns. Mz/PrecursrMz The mass t charge rati (m/z) f the precursr in. CllisinEnergy Cllisin Energy fr the precursr in accrding t instrument/vendr specific default cllisin energy equatin within Skyline. DeclusteringPtential Declustering Ptential fr the precursr in accrding t instrument/vendr specific default declustering ptential equatin within Skyline. MdifiedSequence Peptide sequence including any amin acid mdificatins such as cysteine alkylatin. (example: AGLC[+57]QTFVYGGC[+57]R) PrecursrNte A free text nte assciated with a precursr by clicking Edit Nte n the Edit menu. LibraryName The name f a MS/MS spectral library, if a MS/MS spectral library spectrum is assciated with the precursr in. LibraryType The type f MS/MS spectral library (BibliSpec, GPM, NIST), if a MS/MS spectral library spectrum is assciated with the precursr in. PrecursrLibraryRank A MS/MS spectral library ranking f the precursr amng ther precursrs fr a prtein that match supplied spectral libraries, using a scre specified in the peptide library settings. LibraryScre1 Raw peptide library scre that may r may nt be used t rank amng precursrs f a prtein. LibraryScre2 Raw peptide library scre that may r may nt be used t rank amng precursrs f a prtein. LibraryScre3 Raw peptide library scre that may r may nt be used t rank amng precursrs f a prtein. PrecursrResults (per replicate values): PrecursrPeakFundRati The rati f transitins fr which a peak was measured t the ttal number f transitins in the precursr. Peak indicatrs in the peptide tree view crrespnd t green = 1.0 (all transitins integrated), range >= 0.5, red < 0.5. BestRetentinTime The RetentinTime value f the transitin with the highest maximum intensity fr the precursr. MaxFwhm The maximum full width at half max (FWHM) f the transitins fr the precursr. 29

30 MinStartTime Minimum StartTime f all transitins fr a precursr. Unless manually edited all transitins fr a precursr use the same integratin bundaries. MaxEndTime Maximum EndTime f all transitins fr a precursr. Unless manually edited all transitins fr a precursr use the same integratin bundaries. TtalArea The summed Area values f all individual transitins fr the particular precursr. TtalBackgrund The summed Backgrund values f all individual transitins fr the particular precursr. TtalAreaRati The rati f the TtalArea f this precursr t the first internal standard label type, befre versin 0.7 this was always light/heavy, and appeared n the heavy precursr. TtalAreaNrmalized The TtalArea nrmalized t the sum f the TtalArea values fr all peptide precursrs in the dcument. CuntTruncated The number f transitins fr a precursr that integrate a peak with a bundary at either end f the acquisitin time range, where intensity at the end is greater than 1% f the entire peak height higher than the ther extent. Identified True if a MS/MS peptide identificatin exists fr the result file at a time between the peak integratin bundaries. (new in v1.2) LibraryDtPrduct The dt prduct (described in the riginal BibliSpec article between the individual transitin peak areas f the precursr and the intensities f the matching in peaks in the matched MS/MS spectral library spectrum, r #N/A if the precursr has nt matching library spectrum r has fewer than 4 transitins. This is a useful value fr methd refinement. It wrks best when 6 r mre transitins are present. IstpeDtPrduct The dt prduct calculatin described abve, but between the individual precursr (M, M+1, M+2, etc.) peak areas f the precursr and the intensities f the predicted istpe distributin, r #N/A if the transitin is nt a precursr istpe, r the chrmatgram was nt extracted frm high reslutin MS1 data. (new in v1.2) UserSetTtal True if the default chice f peak r its bundaries was manually altered. OptStep Optimizatin step value indicating distance frm the default value fr the parameter being ptimized, 0 fr the default parameter value, r if n ptimizatin is being perfrmed in the replicate. OptCllisinEnergy The cllisin energy value crrespnding t the OptStep if cllisin energy ptimizatin is being perfrmed. OptDeclusteringPtential The dlecustering ptential value crrespnding t the OptStep if declustering ptential ptimizatin is being perfrmed. PrecursrReplicateNte A free text nte assciated with a result set f the precursr using the Results Grid. PrecursrResultsSummary (summary statistics acrss all replicates): MinBestRetentinTime Minimum f the precursr BestRetentinTime values. MaxBestRetentinTime Maximum f the precursr BestRetentinTime values. 30

31 RangeBestRetentinTime The difference between MaxBestRetentinTime and MinBestRetentinTime, which can be used t gauge the spread f retentin times measured. MeanBestRetentinTime Mean f the precursr BestRetentinTime values. StdevBestRetentinTime Standard deviatin f the precursr BestRetentinTime values. CvBestRetentinTime Cefficient f variatin (CV) f the precursr BestRetentinTime values. MeanMaxFwhm Mean f the precursr MaxFwhm (peak width) values. StdevMaxFwhm Standard deviatin f the precursr MaxFwhm (peak width) values. CvMaxFwhm Cefficient f variatin (CV) f the precursr MaxFwhm (peak width) values. MeanTtalArea Mean f the precursr TtalArea values. StdevTtalArea Standard deviatin f the precursr TtalArea values. CvTtalArea Cefficient f variatin (CV) f the precursr TtalArea values. MeanTtalAreaRati Mean f the precursr TtalAreaRati values. StdevTtalAreaRati Standard deviatin f the precursr TtalAreaRati values. CvTtalAreaRati Cefficient f variatin (CV) f the precursr TtalAreaRati values. MeanTtalAreaNrmalized Mean f the precursr TtalAreaNrmalized values. StdevTtalAreaNrmalized Standard deviatin f the precursr TtalAreaNrmalized values. CvTtalAreaNrmalized Cefficient f variatin (CV) f the precursr TtalAreaNrmalized values. Transitins: PrductCharge Charge (z) f the prduct in. PrductNeutralMass Neutral mass f the prduct in peptide fragment in Daltns. PrductMz The mass t charge rati (m/z) f the prduct in. FragmentIn The name f the prduct in peptide fragment (e.g. y8, y10, b7, etc.). FragmentInType The type f the prduct in (y, b, c, z, a, x, precursr) FragmentInOrdinal Psitin f the amin acid in the peptide after (C terminal f) which the peptide was cleaved upn fragmentatin. (e.g. 8, 10, 7, etc.) CleavageAa Specific amin acid residue in the peptide after (C terminal f) which the peptide was cleaved upn fragmentatin. (e.g. P, M, S, T, etc.) TransitinNte A free text nte assciated with the transitin by clicking Edit Nte n the Edit menu. LibraryRank Intensity ranking f the MS/MS spectral library fragment in peak matching the prduct m/z fr this transitin, if a matching spectrum is assciated with the precursr. LibraryIntensity Raw Intensity value f the MS/MS spectral library fragment in peak matching the prduct m/z fr this transitin, if a matching spectrum is assciated with the precursr. 31

32 TransitinResults: RetentinTime Retentin time at the maximum intensity fr a transitin peak. Fwhm Full width at half max (FWHM) fr the transitin peak. FwhmDegenerate True if ne f the peak integratin bundaries intersects the chrmatgram abve the half maximum intensity. StartTime Retentin time at the starting integratin bundary fr the transitin peak. EndTime Retentin time at the ending integratin bundary fr the transitin peak. Area Area under the curve (AUC), minus backgrund, fr the transitin peak. Backgrund The area f the rectangle frmed by the integratin bundaries, and the baseline and a line perpendicular t minimum intersectin intensity between the integratin bundaries and the chrmatgram fr the transitin peak. AreaRati The rati f the Area f this transitin t its crrespnding transitin in the first internal standard label type, befre versin 0.7 this was always light/heavy, and appeared n the heavy transitins. AreaNrmalized The Area nrmalized t the sum f the Area values fr all transitins in the dcument. Height The maximum intensity f the pints between the transitin peak integratin bundaries. Truncated True if the integrated a peak has a bundary at either end f the acquisitin time range, where intensity at the end is greater than 1% f the entire peak height higher than the ther extent. Or #N/A if the data was imprted with a versin lder than 1.1. PeakRank The rank based n Area f this transitin amng all ther transitins f the same precursr. UserSetPeak True if the default chice f peak r its bundaries was manually altered. TransitinReplicateNte A free text nte assciated with a result set f the transitin using the Results Grid. LibraryRank The rank based n LibraryIntensity f this transitin amng all transitins allwed by the transitin Filter settings, shwn in the user interface as (rank #). LibraryIntensity The MS/MS peak intensity crrespnding t the transitin prduct in in the matching library spectrum. IstpeDistIndex Zer fr the mnistpic peak, 1 fr M+1, 2 fr M+2, etc. (new in v1.2) IstpeDistRank The rank based n the IstpeDistPrprtin amng all istpe peaks fr the predicted istpe distributin, shwn in the user interface as (irank #). Currently nly available fr precursr transitins filtered frm high reslutin MS1 scans. (new in v1.2) IstpeDistPrprtin The prprtin f the entire istpe distributin predicted fr this istpe peak. Currently nly available fr precursr transitins filtered frm high reslutin MS1 scans. (new in v1.2) 32

33 TransitinResultsSummary (summary statistics acrss all replicates): MinRetentinTime Minimum f the transitin RetentinTime values. MaxRetentinTime Maximum f the transitin RetentinTime values. RangeRetentinTime The difference between MaxRetentinTime and MinRetentinTime, which can be used t gauge the spread f retentin times measured. MeanRetentinTime Mean f the transitin RetentinTime values. StdevRetentinTime Standard deviatin f the transitin RetentinTime values. CvRetentinTime Cefficient f variatin (CV) f the transitin RetentinTime values. MeanFwhm Mean f the transitin Fwhm (peak width) values. StdevFwhm Standard deviatin f the transitin Fwhm (peak width) values. CvFwhm Cefficient f variatin (CV) f the transitin Fwhm (peak width) values. MeanArea Mean f the transitin Area values. StdevArea Standard deviatin f the transitin Area values. CvArea Cefficient f variatin (CV) f the transitin Area values. MeanAreaRati Mean f the transitin AreaRati values. StdevAreaRati Standard deviatin f the transitin AreaRati values. CvAreaRati Cefficient f variatin (CV) f the transitin AreaRati values. MeanAreaNrmalized Mean f the transitin AreaNrmalized values. StdevAreaNrmalized Standard deviatin f the transitin AreaNrmalized values. CvAreaNrmalized Cefficient f variatin (CV) f the transitin AreaNrmalized values. 33

Tutorial 3: Building a spectral library in Skyline

Tutorial 3: Building a spectral library in Skyline SRM Curse 2013 Tutrial 3 Spectral Library Tutrial 3: Building a spectral library in Skyline Spectral libraries fr SRM methd design and fr data analysis can be either directly added t a Skyline dcument

More information

Tutorial 4: Parameter optimization

Tutorial 4: Parameter optimization SRM Curse 2013 Tutrial 4 Parameters Tutrial 4: Parameter ptimizatin The aim f this tutrial is t prvide yu with a feeling f hw a few f the parameters that can be set n a QQQ instrument affect SRM results.

More information

TP1 - Introduction to ArcGIS

TP1 - Introduction to ArcGIS TP1 - Intrductin t ArcGIS During this practical, we will use ArcGIS (ArcMap and ArcCatalg) t create maps f predictrs that culd explain the bserved bird richness in Switzerland. ArcMap is principally used

More information

Purchase Order Workflow Processing

Purchase Order Workflow Processing P a g e 1 Purchase Order Wrkflw Prcessing P a g e 2 Table f Cntents PO Wrkflw Prcessing...3 Create a Purchase Order...3 Submit a Purchase Order...4 Review/Apprve the PO...4 Prcess the PO...6 P a g e 3

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 2010 Motion with Constant Acceleration Experiment 1 . Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

Activity Guide Loops and Random Numbers

Activity Guide Loops and Random Numbers Unit 3 Lessn 7 Name(s) Perid Date Activity Guide Lps and Randm Numbers CS Cntent Lps are a relatively straightfrward idea in prgramming - yu want a certain chunk f cde t run repeatedly - but it takes a

More information

Web-based GIS Systems for Radionuclides Monitoring. Dr. Todd Pierce Locus Technologies

Web-based GIS Systems for Radionuclides Monitoring. Dr. Todd Pierce Locus Technologies Web-based GIS Systems fr Radinuclides Mnitring Dr. Tdd Pierce Lcus Technlgies Lcus Technlgies 2014 Overview What is the prblem? Nuclear pwer plant peratrs need t mnitr radinuclides t safeguard the envirnment

More information

CEE3430 Engineering Hydrology HEC HMS Bare Essentials Tutorial and Example

CEE3430 Engineering Hydrology HEC HMS Bare Essentials Tutorial and Example CEE3430 Engineering Hydrlgy HEC HMS Bare Essentials Tutrial and Example Margaret Matter and David Tarbtn February 2010 This tutrial prvides sme bare essentials step by step guidance n starting t use HEC

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

LDS emarket. Section 11 - Catalog Load Process

LDS emarket. Section 11 - Catalog Load Process LDS emarket Sectin 11 - Catalg Lad Prcess Catalg Lad Prcess There are three types f catalgs in LDS emarket: Supplier Direct Web Site An nline catalg f items hsted by the supplier using HTML cding PRG A

More information

Finding the Earth s magnetic field

Finding the Earth s magnetic field Labratry #6 Name: Phys 1402 - Dr. Cristian Bahrim Finding the Earth s magnetic field The thery accepted tday fr the rigin f the Earth s magnetic field is based n the mtin f the plasma (a miture f electrns

More information

Pipetting 101 Developed by BSU CityLab

Pipetting 101 Developed by BSU CityLab Discver the Micrbes Within: The Wlbachia Prject Pipetting 101 Develped by BSU CityLab Clr Cmparisns Pipetting Exercise #1 STUDENT OBJECTIVES Students will be able t: Chse the crrect size micrpipette fr

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

More information

TRAINING GUIDE. Overview of Lucity Spatial

TRAINING GUIDE. Overview of Lucity Spatial TRAINING GUIDE Overview f Lucity Spatial Overview f Lucity Spatial In this sessin, we ll cver the key cmpnents f Lucity Spatial. Table f Cntents Lucity Spatial... 2 Requirements... 2 Supprted Mdules...

More information

PSU GISPOPSCI June 2011 Ordinary Least Squares & Spatial Linear Regression in GeoDa

PSU GISPOPSCI June 2011 Ordinary Least Squares & Spatial Linear Regression in GeoDa There are tw parts t this lab. The first is intended t demnstrate hw t request and interpret the spatial diagnstics f a standard OLS regressin mdel using GeDa. The diagnstics prvide infrmatin abut the

More information

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y= Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents

More information

I. Analytical Potential and Field of a Uniform Rod. V E d. The definition of electric potential difference is

I. Analytical Potential and Field of a Uniform Rod. V E d. The definition of electric potential difference is Length L>>a,b,c Phys 232 Lab 4 Ch 17 Electric Ptential Difference Materials: whitebards & pens, cmputers with VPythn, pwer supply & cables, multimeter, crkbard, thumbtacks, individual prbes and jined prbes,

More information

DEFENSE OCCUPATIONAL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE

DEFENSE OCCUPATIONAL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE DEFENSE OCCUPATIOL AND ENVIRONMENTAL HEALTH READINESS SYSTEM (DOEHRS) ENVIRONMENTAL HEALTH SAMPLING ELECTRONIC DATA DELIVERABLE (EDD) GUIDE 20 JUNE 2017 V1.0 i TABLE OF CONTENTS 1 INTRODUCTION... 1 2 CONCEPT

More information

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment Science 10: The Great Geyser Experiment A cntrlled experiment Yu will prduce a GEYSER by drpping Ments int a bttle f diet pp Sme questins t think abut are: What are yu ging t test? What are yu ging t measure?

More information

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving. Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus

More information

The steps of the engineering design process are to:

The steps of the engineering design process are to: The engineering design prcess is a series f steps that engineers fllw t cme up with a slutin t a prblem. Many times the slutin invlves designing a prduct (like a machine r cmputer cde) that meets certain

More information

Editorial Calendar User Guide

Editorial Calendar User Guide Editrial Calendar User Guide Table f Cntents Intrductin... 1 Permissins... 1 Navigatin & Views... 1 Navigatin Menu... 2 Mini Calendar... 2 Calendars in View... 3 Cntent Filtering... 4 Mnthly Calendar...

More information

Astro 102 Lab #2. 1) Learning the user interface and setting up your home location

Astro 102 Lab #2. 1) Learning the user interface and setting up your home location Name: Astr 102 Lab #2 Lab bjectives 1) Learn hw t use the Stellarium planetarium prgram by becming familiar with the user interface and cnfiguring the planetarium t yur present lcatin n Earth 2) Learn

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

Tutorial 7: Automated SRM data analysis using mprophet

Tutorial 7: Automated SRM data analysis using mprophet Tutrial 7: Autmated SRM data analysis using mprphet mprphet is a statistical tl which can be emplyed t achieve autmated high-cnfidence identificatin f peptides. It has three functinalities: First, mmap

More information

READING STATECHART DIAGRAMS

READING STATECHART DIAGRAMS READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible

More information

Lab 1 The Scientific Method

Lab 1 The Scientific Method INTRODUCTION The fllwing labratry exercise is designed t give yu, the student, an pprtunity t explre unknwn systems, r universes, and hypthesize pssible rules which may gvern the behavir within them. Scientific

More information

GENESIS Structural Optimization for ANSYS Mechanical

GENESIS Structural Optimization for ANSYS Mechanical P3 STRUCTURAL OPTIMIZATION (Vl. II) GENESIS Structural Optimizatin fr ANSYS Mechanical An Integrated Extensin that adds Structural Optimizatin t ANSYS Envirnment New Features and Enhancements Release 2017.03

More information

Standard Title: Frequency Response and Frequency Bias Setting. Andrew Dressel Holly Hawkins Maureen Long Scott Miller

Standard Title: Frequency Response and Frequency Bias Setting. Andrew Dressel Holly Hawkins Maureen Long Scott Miller Template fr Quality Review f NERC Reliability Standard BAL-003-1 Frequency Respnse and Frequency Bias Setting Basic Infrmatin: Prject number: 2007-12 Standard number: BAL-003-1 Prject title: Frequency

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 2 Algebraic Expressions and Fundamental Operations CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic

More information

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science Weathering Title: Chemical and Mechanical Weathering Grade Level: 9-12 Subject/Cntent: Earth and Space Science Summary f Lessn: Students will test hw chemical and mechanical weathering can affect a rck

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method. Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are

More information

AP Statistics Notes Unit Two: The Normal Distributions

AP Statistics Notes Unit Two: The Normal Distributions AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).

More information

SPH3U1 Lesson 06 Kinematics

SPH3U1 Lesson 06 Kinematics PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.

More information

ECE 545 Project Deliverables

ECE 545 Project Deliverables ECE 545 Prject Deliverables Tp-level flder: _ Secnd-level flders: 1_assumptins 2_blck_diagrams 3_interface 4_ASM_charts 5_surce_cde 6_verificatin 7_timing_analysis 8_results

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards: MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use

More information

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions.

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions. BASD High Schl Frmal Lab Reprt GENERAL INFORMATION 12 pt Times New Rman fnt Duble-spaced, if required by yur teacher 1 inch margins n all sides (tp, bttm, left, and right) Always write in third persn (avid

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information

WebStats User s Guide (Windows Version) Advanced Internet Technologies, Inc. December 18, 2005

WebStats User s Guide (Windows Version) Advanced Internet Technologies, Inc. December 18, 2005 Page 1 f 50 WebStats User s Guide (Windws Versin) WebStats User s Guide (Windws Versin) Advanced Internet Technlgies, Inc. December 18, 2005 Search All Yur Favrite Engines frm a Single Surce with tybit!!!

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~ Sectin 6-2: Simplex Methd: Maximizatin with Prblem Cnstraints f the Frm ~ Nte: This methd was develped by Gerge B. Dantzig in 1947 while n assignment t the U.S. Department f the Air Frce. Definitin: Standard

More information

Supporting information

Supporting information Electrnic Supplementary Material (ESI) fr Physical Chemistry Chemical Physics This jurnal is The wner Scieties 01 ydrgen perxide electrchemistry n platinum: twards understanding the xygen reductin reactin

More information

Please Stop Laughing at Me and Pay it Forward Final Writing Assignment

Please Stop Laughing at Me and Pay it Forward Final Writing Assignment Kirk Please Stp Laughing at Me and Pay it Frward Final Writing Assignment Our fcus fr the past few mnths has been n bullying and hw we treat ther peple. We ve played sme games, read sme articles, read

More information

BASD HIGH SCHOOL FORMAL LAB REPORT

BASD HIGH SCHOOL FORMAL LAB REPORT BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used

More information

UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS

UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS Determinatin f Flash and Fire Pint f a Cup and Clsed Cup Structure 6. Intrductin Objectives 6. Experiment

More information

Turing Machines. Human-aware Robotics. 2017/10/17 & 19 Chapter 3.2 & 3.3 in Sipser Ø Announcement:

Turing Machines. Human-aware Robotics. 2017/10/17 & 19 Chapter 3.2 & 3.3 in Sipser Ø Announcement: Turing Machines Human-aware Rbtics 2017/10/17 & 19 Chapter 3.2 & 3.3 in Sipser Ø Annuncement: q q q q Slides fr this lecture are here: http://www.public.asu.edu/~yzhan442/teaching/cse355/lectures/tm-ii.pdf

More information

AP Literature and Composition. Summer Reading Packet. Instructions and Guidelines

AP Literature and Composition. Summer Reading Packet. Instructions and Guidelines AP Literature and Cmpsitin Summer Reading Packet Instructins and Guidelines Accrding t the Cllege Bard Advanced Placement prgram: "The AP English curse in Literature and Cmpsitin shuld engage students

More information

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Cambridge Assessment International Education Cambridge Ordinary Level. Published Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid

More information

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd NAME: DUE DATE: JULY 2 nd AP Chemistry SUMMER REV: Half-Life Why? Every radiistpe has a characteristic rate f decay measured by its half-life. Half-lives can be as shrt as a fractin f a secnd r as lng

More information

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory Teacher s guide CESAR Science Case The differential rtatin f the Sun and its Chrmsphere Material that is necessary during the labratry CESAR Astrnmical wrd list CESAR Bklet CESAR Frmula sheet CESAR Student

More information

Synchronous Motor V-Curves

Synchronous Motor V-Curves Synchrnus Mtr V-Curves 1 Synchrnus Mtr V-Curves Intrductin Synchrnus mtrs are used in applicatins such as textile mills where cnstant speed peratin is critical. Mst small synchrnus mtrs cntain squirrel

More information

Trigonometric Ratios Unit 5 Tentative TEST date

Trigonometric Ratios Unit 5 Tentative TEST date 1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin

More information

Application Note - Energy Metering at a Medium Voltage Connection Point using a Voltage Transformer

Application Note - Energy Metering at a Medium Voltage Connection Point using a Voltage Transformer Applicatin Nte - Energy Metering at a Medium Vltage Cnnectin Pint using a Vltage Transfrmer This dcument describes the cnnectin and cnfiguratin f a Janitza meter at a medium vltage (MV) cnnectin pint t

More information

Hypothesis Tests for One Population Mean

Hypothesis Tests for One Population Mean Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be

More information

Writing Guidelines. (Updated: November 25, 2009) Forwards

Writing Guidelines. (Updated: November 25, 2009) Forwards Writing Guidelines (Updated: Nvember 25, 2009) Frwards I have fund in my review f the manuscripts frm ur students and research assciates, as well as thse submitted t varius jurnals by thers that the majr

More information

Relationships Between Frequency, Capacitance, Inductance and Reactance.

Relationships Between Frequency, Capacitance, Inductance and Reactance. P Physics Relatinships between f,, and. Relatinships Between Frequency, apacitance, nductance and Reactance. Purpse: T experimentally verify the relatinships between f, and. The data cllected will lead

More information

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018 Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and

More information

Checking the resolved resonance region in EXFOR database

Checking the resolved resonance region in EXFOR database Checking the reslved resnance regin in EXFOR database Gttfried Bertn Sciété de Calcul Mathématique (SCM) Oscar Cabells OECD/NEA Data Bank JEFF Meetings - Sessin JEFF Experiments Nvember 0-4, 017 Bulgne-Billancurt,

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

Relativity Integration Points Guide. July 3, 2018 Version

Relativity Integration Points Guide. July 3, 2018 Version Relativity Integratin Pints Guide July 3, 2018 Versin 9.6.50.31 Fr the mst recent versin f this dcument, visit ur dcumentatin website. Table f Cntents 1 Relativity Integratin Pints 4 1.1 Integratin Pints

More information

Lab 11 LRC Circuits, Damped Forced Harmonic Motion

Lab 11 LRC Circuits, Damped Forced Harmonic Motion Physics 6 ab ab 11 ircuits, Damped Frced Harmnic Mtin What Yu Need T Knw: The Physics OK this is basically a recap f what yu ve dne s far with circuits and circuits. Nw we get t put everything tgether

More information

Unit Project Descriptio

Unit Project Descriptio Unit Prject Descriptin: Using Newtn s Laws f Mtin and the scientific methd, create a catapult r trebuchet that will sht a marshmallw at least eight feet. After building and testing yur machine at hme,

More information

Hubble s Law PHYS 1301

Hubble s Law PHYS 1301 1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and

More information

Project CONVERGE 1/13/15. How to Read CONVERGE CODAR Imagery Data Primer

Project CONVERGE 1/13/15. How to Read CONVERGE CODAR Imagery Data Primer Hw t Read CONVERGE CODAR Imagery Data Primer Overall Ntes abut the data: Everything is in Greenwich Mean Time (GMT), which is 5 hurs ahead f the east cst. All time is presented in military time, which

More information

5 th grade Common Core Standards

5 th grade Common Core Standards 5 th grade Cmmn Cre Standards In Grade 5, instructinal time shuld fcus n three critical areas: (1) develping fluency with additin and subtractin f fractins, and develping understanding f the multiplicatin

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

CHESAR MANUAL. Chesar 3 for sector associations. Creating use maps Including SPERCs, SWEDs, and SCEDs

CHESAR MANUAL. Chesar 3 for sector associations. Creating use maps Including SPERCs, SWEDs, and SCEDs CHESAR MANUAL Chesar 3 fr sectr assciatins Creating use maps Including SPERCs, SWEDs, and SCEDs 2 Chesar 3 fr sectr assciatins Versin Date Changes 1.0 Nvember 2016 1.1 December 2016 Sme wrk arunds which

More information

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y ) (Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well

More information

**DO NOT ONLY RELY ON THIS STUDY GUIDE!!!**

**DO NOT ONLY RELY ON THIS STUDY GUIDE!!!** Tpics lists: UV-Vis Absrbance Spectrscpy Lab & ChemActivity 3-6 (nly thrugh 4) I. UV-Vis Absrbance Spectrscpy Lab Beer s law Relates cncentratin f a chemical species in a slutin and the absrbance f that

More information

We can see from the graph above that the intersection is, i.e., [ ).

We can see from the graph above that the intersection is, i.e., [ ). MTH 111 Cllege Algebra Lecture Ntes July 2, 2014 Functin Arithmetic: With nt t much difficulty, we ntice that inputs f functins are numbers, and utputs f functins are numbers. S whatever we can d with

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

Heat Management Methodology for Successful UV Processing on Heat Sensitive Substrates

Heat Management Methodology for Successful UV Processing on Heat Sensitive Substrates Heat Management Methdlgy fr Successful UV Prcessing n Heat Sensitive Substrates Juliet Midlik Prime UV Systems Abstract: Nw in 2005, UV systems pssess heat management cntrls that fine tune the exthermic

More information

Study Group Report: Plate-fin Heat Exchangers: AEA Technology

Study Group Report: Plate-fin Heat Exchangers: AEA Technology Study Grup Reprt: Plate-fin Heat Exchangers: AEA Technlgy The prblem under study cncerned the apparent discrepancy between a series f experiments using a plate fin heat exchanger and the classical thery

More information

Math Foundations 20 Work Plan

Math Foundations 20 Work Plan Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

Temperature sensor / Dual Temp+Humidity

Temperature sensor / Dual Temp+Humidity www.akcp.cm Temperature sensr / Dual Temp+Humidity Intrductin Temperature sensrs are imprtant where ptimum temperature cntrl is paramunt. If there is an air cnditining malfunctin r abnrmal weather cnditins,

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0

More information

N C R S I L V E R Q U A N T U M F A Q

N C R S I L V E R Q U A N T U M F A Q N C R S I L V E R Q U A N T U M F A Q V 2 Cntents NCR Silver Quantum Overview... 2 What is NCR Silver Quantum?... 2 Hw is it different than Silver n ios r the Silver Andrid?... 2 Pwer Related Questins...

More information

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive

More information

1. Transformer A transformer is used to obtain the approximate output voltage of the power supply. The output of the transformer is still AC.

1. Transformer A transformer is used to obtain the approximate output voltage of the power supply. The output of the transformer is still AC. PHYSIS 536 Experiment 4: D Pwer Supply I. Intrductin The prcess f changing A t D is investigated in this experiment. An integrated circuit regulatr makes it easy t cnstruct a high-perfrmance vltage surce

More information

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History Purpse: Use this reference guide t effectively cmmunicate the new prcess custmers will use fr creating a TWC ID. Overview Beginning n January 28, 2014 (Refer t yur Knwledge Management System fr specific

More information

ALE 21. Gibbs Free Energy. At what temperature does the spontaneity of a reaction change?

ALE 21. Gibbs Free Energy. At what temperature does the spontaneity of a reaction change? Name Chem 163 Sectin: Team Number: ALE 21. Gibbs Free Energy (Reference: 20.3 Silberberg 5 th editin) At what temperature des the spntaneity f a reactin change? The Mdel: The Definitin f Free Energy S

More information

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu

More information

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law Sectin 5.8 Ntes Page 1 5.8 Expnential Grwth and Decay Mdels; Newtn s Law There are many applicatins t expnential functins that we will fcus n in this sectin. First let s lk at the expnential mdel. Expnential

More information

Thermodynamics and Equilibrium

Thermodynamics and Equilibrium Thermdynamics and Equilibrium Thermdynamics Thermdynamics is the study f the relatinship between heat and ther frms f energy in a chemical r physical prcess. We intrduced the thermdynamic prperty f enthalpy,

More information

Chapter 3: Cluster Analysis

Chapter 3: Cluster Analysis Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA

More information

A Quick Overview of the. Framework for K 12 Science Education

A Quick Overview of the. Framework for K 12 Science Education A Quick Overview f the NGSS EQuIP MODULE 1 Framewrk fr K 12 Science Educatin Mdule 1: A Quick Overview f the Framewrk fr K 12 Science Educatin This mdule prvides a brief backgrund n the Framewrk fr K-12

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

More information

Revised 2/07. Projectile Motion

Revised 2/07. Projectile Motion LPC Phsics Reised /07 Prjectile Mtin Prjectile Mtin Purpse: T measure the dependence f the range f a prjectile n initial elcit height and firing angle. Als, t erif predictins made the b equatins gerning

More information

A water level indicator or other measuring device to determine the current depth to the water.

A water level indicator or other measuring device to determine the current depth to the water. Fr Aqua4Plus 1.9.7 and later r Aqua4Plus Lite 2.1.1 r later. (Fr earlier versins r if using a PT2X with firmware lwer than 1.5, see Applicatin Nte 9C0152) Intrductin Purpse f this dcument is t prvide a

More information

A B C. 2. Some genes are not regulated by gene switches. These genes are expressed constantly. What kinds of genes would be expressed constantly?

A B C. 2. Some genes are not regulated by gene switches. These genes are expressed constantly. What kinds of genes would be expressed constantly? STO-143 Gene Switches Intrductin Bacteria need t be very efficient and nly prduce specific prteins when they are needed. Making prteins that are nt needed fr everyday cell metablism wastes energy and raw

More information

Group Color: Subgroup Number: How Science Works. Grade 5. Module 2. Class Question: Scientist (Your Name): Teacher s Name: SciTrek Volunteer s Name:

Group Color: Subgroup Number: How Science Works. Grade 5. Module 2. Class Question: Scientist (Your Name): Teacher s Name: SciTrek Volunteer s Name: Grup Clr: Subgrup Number: Hw Science Wrks Grade 5 Mdule 2 Class Questin: Scientist (Yur Name): Teacher s Name: SciTrek Vlunteer s Name: VOCABULARY Science: The study f the material wrld using human reasn.

More information