Where does biological order come from?
|
|
- Ophelia O’Connor’
- 5 years ago
- Views:
Transcription
1 Where does biological order come from? Gavi Coat Bioiformatics Research Ceter Biological Scieces Program i Geetics gcoat@csu.edu coatlab.org
2 AA32G00445 Tp4g AT2G33430 DAL Tp1g AT1G04450 AA32G00441 Tp4g RIC1 AA19G00112 Tp1g AT1G Fixatio rate (γ): 0.17 Geome 2 fractioal preservatio rate (ε): 0.64 Trackig flip prob.: WGD AA19G00113 Tp1g AT1G04410 C-NAD-MDH1, AA32G00436 Tp2g AT5G43330 C-NAD-MDH2 Tp1g AT1G04400 AT-PHH1 AA32G00435 Tp2g Tp1g ERF14 AA32G00429 Tp2g ERF96 AA19G00116 Tp1g AA32G00428 Tp2g AT5G43420 AT5G43420 AA19G00118 Tp1g AT1G04340 AA32G00426 Tp2g AT5G43460 Tp1g AT1G04330 AA32G00423 Tp2g AT5G43540 Tp1g AT1G04300 MUSE13 AA32G00422 Tp2g AT5G43560 MUSE14 AA32G00420 Tp2g AT5G43600 ATAAH-2 AA19G00122 Tp1g AT1G04270 RPS15 AA32G00418 Tp2g AT5G43640 AT5G43640 AA19G00123 Tp1g AT1G04260 MPI7 AA32G00416 Tp2g AA19G00124 Tp1g AT1G04250 ATIAA17 AA32G AA19G00125 Tp1g IAA3 AA32G00413 Tp2g AT5G43700 ATAUX2-11 AA32G00412 Tp2g AT5G43710 MNS4 AT5G43720 AT1G04230 AA32G00411 Tp2g AT5G AA32G00410 Tp2g AT5G43745 AT5G43745 AA19G00126 Tp1g KCS2 AA32G00409 Tp2g KCS20 AT1G Tp1g03030 AA19G00128 Less fractioated paretal geome More fractioated paretal geome Arabidopsis thaliaa Arabidopsis lyrata Capsella rubella Thellugiella halophila Eutrema parvulum Aethioema arabicum Arabidopsis thaliaa Arabidopsis lyrata Capsella rubella Thellugiella halophila Eutrema parvulum Aethioema arabicum Origis of complexity Gee ad geome duplicatios All sigle copy from PG#1 All sigle copy from PG#2 Fully duplicated i all geomes Other Metageomics
3 Ope Project No-traditioal hardware for bioiformatics:
4 Approaches i the lab LINUX-based use of scripts for WGD ad metageomic aalysis Perl/Pytho programmig c/c++ tool developmet Parallel computig MPI OpeMP CUDA
5 3378±3386 Nucleic Acids Research, 2002, Vol. 30 No. 15 ã 2002 Oxford Uiversity Press GeomeHistory: a software tool ad its applicatio to fully sequeced geomes Gavi C. Coat* ad Adreas Wager Departmet of Biology, 167 Castetter Hall, The Uiversity of New Mexico, Albuquerque, NM 87131, USA ARTICLE IN PRESS J. Parallel Distrib. Comput. 63 (2003) Parallel Geehuter: implemetatio of a likage aalysis package for distributed-memory architectures Gavi C. Coat, a, Steve J. Plimpto, b William Old, c Adreas Wager, a Pamela R. Fai, d Theresa R. Pacheco, d ad Grat Heffelfiger b a Departmet of Biology, 167 Castetter Hall, The Uiversity of New Mexico, Albuquerque, NM , USA b Computatio, Computers, ad Mathematics Ceter, Sadia Natioal Laboratories, Albuquerque, NM, USA c Agilet Laboratories, Fort Collis, CO, USA d Health Scieces Ceter, The Uiversity of Colorado, Fort Collis, CO, USA Received 4 December 2002; revised 15 April 2003; accepted 16 May 2003 Copyright Ó 2008 by the Geetics Society of America DOI: /geetics Probabilistic Cross-Species Iferece of Orthologous Geomic Regios Created by Whole-Geome Duplicatio i Yeast Gavi C. Coat ad Keeth H. Wolfe 1 Smurfit Istitute of Geetics, Triity College, Dubli 2, Irelad Mauscript received April 12, 2007 Accepted for publicatio April 21, 2008
6 Box 1 Whole-geome duplicatios across the phylogey of eukaryotes Agiosperms Moss Aimals Fugi Ciliates Acorus americaus Musa spp. Triticum aestivum Hordeum vulgare Oryza sativa Sorghum bicolor Zea mays Eschscholzia califorica Solaum tuberosum Solaum lycopersicum Cetaurea solstitialis Lactuca sativa Vitis viifera Lotus japoicus Medicago trucatula Glycie max Populus trichocarpa Gossypium hirsutum Carica papaya Arabidopsis thaliaa Physcomitrella pates Bichir (Polypteriformes) Sturgeo (Acipeseriformes) Gar (Semiootiformes) Boy togues (Osteoglossiformes) Zebrafish Takifugu rubripes Medaka Mammals Birds Amphibia Lobe-fied fish Lampreys Hagfish Saccharomyces cerevisiae Cadida glabrata Saccharomyces spp. Kluyveromyces lactis Neurospora crassa Aspergillus fumigatus Paramecium spp. Tetrahymea spp. Va de Peer, Maere, & Meyer (2009) Nat Rev Geet 10:725 Ceozoic 65 mya Cretaceous 145 mya Moocots (Core) Eudicots Ascomycetes Jurassic 208 mya Triassic 245 mya Permia 290 mya 3R Teleosts Carboiferous 363 mya Devoia 409 mya Siluria 439 mya Fish Lad vertebrates Ordovicia 510 mya Agiosperms moss split Fish lad vertebrates split Cambria 542 mya Precambria >542 mya 2R 1R
7 5000 duplicates dow to Duplicate gee losses Geome duplicatio
8 A) B) ll= Fixatio rate (γ): Geome 2 fractioal preservatio rate (ε): Coverg. rate (δ): 0.37 Trackig flip prob.: TGD abhd spcs tgfb1b clda mettl cldj cal cal sdf supt6h rab34b rab34a ek traf4b traf4a Takifugu rubripes Tetraodo igroviridis Gasterosteus aculeatus Xiphophorus maculatus Oryzias latipes Oreochromis iloticus Daio rerio Astyaax mexicaus Takifugu rubripes Tetraodo igroviridis Gasterosteus aculeatus Xiphophorus maculatus Oryzias latipes Oreochromis iloticus Daio rerio Astyaax mexicaus Less fractioated paretal subgeome More fractioated paretal subgeome All sigle copy from PG#1 All sigle copy from PG#2 Fully duplicated i all geomes Other
9 Zygote Cleavage 0.7 Blastula Gastrula Segmetatio Pharygula Hatchig Expressio stage Larval Juveile Adult 1 Duplicates survive mostly from later i developmet Proportio of gees i a oholog pair Prop. ohologs I a stage Overall Post-zygote Prop. of root losses I a stage Overall Post-zygote Sig. diff from overall Sig. diff from post-zyg. Sig. diff from overall Sig. diff from post-zyg Time i hours Proportio of gees lost o root brach Biases toward various ervous tissues Especially the retia Teleosts have a specialized retial structure compared to other vertebrates
10 Box 1 Whole-geome duplicatios across the phylogey of eukaryotes Agiosperms Moss Aimals Fugi Ciliates Acorus americaus Musa spp. Triticum aestivum Hordeum vulgare Oryza sativa Sorghum bicolor Zea mays Eschscholzia califorica Solaum tuberosum Solaum lycopersicum Cetaurea solstitialis Lactuca sativa Vitis viifera Lotus japoicus Medicago trucatula Glycie max Populus trichocarpa Gossypium hirsutum Carica papaya Arabidopsis thaliaa Brassica Physcomitrella pates Bichir (Polypteriformes) Sturgeo (Acipeseriformes) Gar (Semiootiformes) Boy togues (Osteoglossiformes) Zebrafish Takifugu rubripes Medaka Mammals Birds Amphibia Lobe-fied fish Lampreys Hagfish Saccharomyces cerevisiae Cadida glabrata Saccharomyces spp. Kluyveromyces lactis Neurospora crassa Aspergillus fumigatus Paramecium spp. Tetrahymea spp. Va de Peer, Maere, & Meyer (2009) Nat Rev Geet 10:725 Ceozoic 65 mya Cretaceous 145 mya Moocots (Core) Eudicots Ascomycetes Jurassic 208 mya Triassic 245 mya Permia 290 mya 3R Teleosts Carboiferous 363 mya Devoia 409 mya Siluria 439 mya Ordovicia 510 mya Agiosperms moss split Arachids Fish Lad vertebrates Fish lad vertebrates split Meloidogye (ematodes) Cambria 2R 542 mya Precambria >542 mya 1R
11 Why study rume microbes?
12 NETWORK INTERFACE
13 A) B) 0.16 Node frequecy C) 0 Dowstream oly < >4.5 log 2 (Upstream/Dowstream) Upstream oly Dowstream oly -2 2 Upstream oly log 2 (Upstream/Dowstream) Cumulative weighted abudace Upstream Dowstream Node degree
14 coatlab.org THANKS!
15 Ackowledgemets Mariae Emery Maddie Willis Ke Wolfe Kevi Byre Jo Gordo Yue Hao Michela Becchi Jim Birchler Chris Pires Hua Truog Sara Wolff Tasia Taxis Melida Elliso Kristi Cammack Bill Lamberso Liz Ottese Ford Ballatye
16 AA32G00445 Tp4g AT2G33430 DAL RIC Fixatio rate (γ): 0.17 Geome 2 fractioal preservatio rate (ε): 0.64 Trackig flip prob.: WGD Arabidopsis thaliaa Arabidopsis lyrata Capsella rubella Thellugiella halophila Eutrema parvulum Aethioema arabicum Tp1g AT1G04450 AA32G00441 Tp4g AA19G00112 Tp1g AT1G AT5G43330 C-NAD-MDH2 AA19G00113 Tp1g AT1G04410 C-NAD-MDH1, AA32G00436 Tp2g Tp1g AT1G04400 AT-PHH1 AA32G00435 Tp2g ERF96 Tp1g ERF14 AA32G00429 Tp2g AT5G43420 AT5G43420 AA19G00116 Tp1g AA32G00428 Tp2g AT5G43460 AA19G00118 Tp1g AT1G04340 AA32G00426 Tp2g Tp1g AT1G04330 AA32G00423 Tp2g AT5G43540 AT5G43560 MUSE14 Tp1g AT1G04300 MUSE13 AA32G00422 Tp2g AA32G00420 Tp2g AT5G43600 ATAAH AT5G43640 AT5G43640 AA19G00122 Tp1g AT1G04270 RPS15 AA32G00418 Tp2g AA19G00123 Tp1g AT1G04260 MPI7 AA32G00416 Tp2g AA19G00124 Tp1g AT1G04250 ATIAA17 AA32G AT5G43700 ATAUX2-11 AA19G00125 Tp1g IAA3 AA32G00413 Tp2g AA32G00412 Tp2g AT5G43710 MNS4 AT5G43720 AT1G04230 AA32G00411 Tp2g AT5G AA32G00410 Tp2g AT5G43745 AT5G KCS20 AA19G00126 Tp1g KCS2 AA32G00409 Tp2g AA19G00128 Tp1g AT1G04210 Less fractioated paretal geome More fractioated paretal geome Arabidopsis thaliaa Arabidopsis lyrata Capsella rubella Thellugiella halophila Eutrema parvulum Aethioema arabicum Domiat subgeome Fractioated subgeome All sigle copy from PG#1 All sigle copy from PG#2 Fully duplicated i all geomes Other Biased fractioatio:
17 A) Arabidopsis thaliaa Key Arabidopsis lyrata Capsella rubella Eutrema salsugieum Shrekiella parvula Aethioema arabicum B) C) Pillar positio Geomes with shared paretal assigmets ML estimate of ε Ca reduce this WGD to a few large blocks Idetify geomic paret of origi for each block See hybridizatio i actio Full break i sytey betwee pillars Switch i paretal geome assigmet with P 85% Paretal geome assigmet cofidece <85% Shared sytey break i all geomes Trackig artifact (see captio) Paretal sytey blocks iferred with WGD-bf model Paretal sytey blocks iferred with WGD-f model (o biased fract.) Paretal geome assigmet cofidece <85%
18 Experimetal desig We sampled the rumes of 34 aimals: 2 steers o the same diet 8 sheep fed cor/grai 8 sheep fed alfalfa pellets 8 sheep with high RFI ad 8 with low RFI Sequeced the extracted microbial DNA i the Illumia HighSeq
19 0 1 Prop. of gees with ohologs
20 C) D) Node pairwise distace Forage/Forage Coce/Coce Forage/Coce FORG to FORG Pearso s r=0.23, P=>0.5 RFI: Low/Low High/Low High/High CONC to CONC Pearso s r=0.41, P=>0.5 RFI: Low/Low High/Low High/High FORG to CONC Grass-fed aimals have more similar 0.8 profiles tha Forage/Forage cor-fed Simulatio Coce/Coce Frequecy 0.4 Forage/Coce oes E) OTU pairwise distace
Bioinformatics tools to analyze complex genomes. Yves Van de Peer Ghent University/VIB
Bioinformatics tools to analyze complex genomes Yves Van de Peer Ghent University/VIB Detecting colinearity and large-scale gene duplications A 1 2 3 4 5 6 7 8 9 10 11 Speciation/Duplicatio n S1 S2 1
More informationSupplementary Figure 1. Number of CC- and TIR- type NBS- LRR genes and presence of mir482/2118 on sequenced plant genomes.
Number of CC- NBS and CC- NBS- LRR R- genes Number of TIR- NBS and TIR- NBS- LRR R- genes 0 50 100 150 200 250 0 50 100 150 200 250 300 350 400 450 mir482 and mir2118 Cajanus cajan Glycine max Hevea brasiliensis
More informationSupplementary Figure 3
Supplementary Figure 3 7.0 Col Kas-1 Line FTH1A 8.4 F3PII3 8.9 F26H11 ATQ1 T9I22 PLS8 F26B6-B 9.6 F27L4 9.81 F27D4 9.92 9.96 10.12 10.14 10.2 11.1 0.5 Mb T1D16 Col % RGR 83.3 101 227 93.5 75.9 132 90 375
More informationGenome Evolution Greg Lang, Department of Biological Sciences
Genome Evolution Greg Lang, Department of Biological Sciences BioS 010: Bioscience in the 21st Century Mechanisms of genome evolution Gene Duplication Genome Rearrangement Whole Genome Duplication Gene
More informationInternal Information Representation and Processing
Iteral Iformatio Represetatio ad Processig CSCE 16 - Fudametals of Computer Sciece Dr. Awad Khalil Computer Sciece & Egieerig Departmet The America Uiversity i Cairo Decimal Number System We are used to
More informationSUPPLEMENTARY INFORMATION
SUPPLEMENTARY INFORMATION doi:10.1038/nature13082 Supplementary Table 1. Examination of nectar production in wild-type and atsweet9 flowers. No. of flowers with detectable nectar out of the total observed
More informationApplication of the Zhe Yin s Gene Inherits Law
Ope Joural of Geetics, 2014, 4, 434-438 Published Olie December 2014 i SciRes. http://www.scirp.org/joural/ojge http://dx.doi.org/10.4236/ojge.2014.46041 Applicatio of the Zhe Yi s Gee Iherits Law Zhe
More informationPotato Genome Analysis
Potato Genome Analysis Xin Liu Deputy director BGI research 2016.1.21 WCRTC 2016 @ Nanning Reference genome construction???????????????????????????????????????? Sequencing HELL RIEND WELCOME BGI ZHEN LLOFRI
More informationSupplemental Table 1. Primers used for cloning and PCR amplification in this study
Supplemental Table 1. Primers used for cloning and PCR amplification in this study Target Gene Primer sequence NATA1 (At2g393) forward GGG GAC AAG TTT GTA CAA AAA AGC AGG CTT CAT GGC GCC TCC AAC CGC AGC
More informationLecture 14: 2 Parts: 1. Meiosis Chapter 8 2. Inheritance Chapter 9 Leading into Lecture 15:
Lecture 14: 2 Parts: 1. Meiosis Chapter 8 2. Iheritace Chapter 9 Leadig ito Lecture 15: 1. Evolu5o ad Iheritace Chapter 13 Topic #1: Meiosis I Pee o the MAT P MAT! Importat LaH Roots Meiou Mei Lesse Small
More informationBrowsing Genomic Information with Ensembl Plants
Browsing Genomic Information with Ensembl Plants Etienne de Villiers, PhD (Adapted from slides by Bert Overduin EMBL-EBI) Outline of workshop Brief introduction to Ensembl Plants History Content Tutorial
More informationSupplementary Material
Supplementary Material Supplementary Table S1. Genomes available in build 47 Supplementary Table S2. Counts of putative contiguous gene split models in 39 plant reference genomes in build 47 Supplementary
More informationAtTIL-P91V. AtTIL-P92V. AtTIL-P95V. AtTIL-P98V YFP-HPR
Online Resource 1. Primers used to generate constructs AtTIL-P91V, AtTIL-P92V, AtTIL-P95V and AtTIL-P98V and YFP(HPR) using overlapping PCR. pentr/d- TOPO-AtTIL was used as template to generate the constructs
More informationCH 10: Meiosis / Sex Overview. Concept 10.1: Offspring acquire genes from parents by inheriting chromosomes
CH 10: Meiosis / Sex Overview Livig orgaisms are distiguished by their ability to reproduce their ow kid Heredity is the trasmissio of traits from oe geeratio to the ext Variatio is demostrated by the
More informationInterphase. Chapter 10 Notes. Objective 1: Summarize the events that occur during mitosis
Chapter 10 Notes Ratio of Surface Area to Volume i Cells 10 1 Cell Growth A. Limits to Cell Growth 1. DNA Overload 2. Exchagig Materials 3. Ratio of Surface Area to Volume 4. Cell Divisio Cell Size Surface
More informationAN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS
http://www.paper.edu.c Iteratioal Joural of Bifurcatio ad Chaos, Vol. 1, No. 5 () 119 15 c World Scietific Publishig Compay AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC
More informationMinimum Dominating Set Approach to Analysis and Control of Biological Networks
Miimum Domiatig Set Approach to Aalysis ad Cotrol of Biological Networks Tatsuya Akutsu Bioiformatics Ceter Istitute for Chemical Research, Kyoto Uiversity Joit work with Jose Nacher i Toho Uiversity Motivatio:
More informationGenetic polymorphism analysis of t wo kinds of genetic markers in Hu sheep and Tong sheep
2003, 26 (4) : 64 68 Joural of N ajig A gricultural U iversity,,,, (, 225009) : 63 65 14 7, ( H) ( PIC) ( N e ) :, :, ; DNA ; : ; ; ; ; : S82612 : A : 1000 2030 ( 2003) 04 0064 05 Geetic polymorphism aalysis
More informationSUPPLEMENTARY INFORMATION
doi:1.138/nature111 cytosol Model: PILS function in cellular auxin homeostasis ER nucleus IAA degradation? sequestration? conjugation? storage? signalling? PILS IAA ER cytosol Supplemental Figure 1 Model
More informationGene and genome duplications: the impact of dosage-sensitivity on the fate of nuclear genes
Chromosome Research (2009) 17:699 717 DOI 10.1007/s10577-009-9055-9 Gene and genome duplications: the impact of dosage-sensitivity on the fate of nuclear genes Patrick P. Edger & J. Chris Pires # Springer
More informationSupporting Information
Supporting Information Fawcett et al. 10.1073/pnas.0900906106 SI Text Estimating the Age of Gene Duplication Events: The Use of K S Values. One of the most common methods used to study and visualize gene
More informationSUPPLEMENTARY INFORMATION
doi:1.138/nature11394 Supplementary Note Our study is based on two different tracriptome indices. Both combine tracriptional information with an important evolutionary parameter. For the tracriptome age
More informationHost_microbe_PPI - R package to analyse intra-species and interspecies protein-protein interactions in the model plant Arabidopsis thaliana
Host_microbe_PPI - R package to analyse intra-species and interspecies protein-protein interactions in the model plant Arabidopsis thaliana Thomas Nussbaumer 1,2 1 Institute of Network Biology (INET),
More informationCao, J, K Schneeberger, S Ossowski, et al Whole genome sequencing of multiple Arabidopsis thaliana populations. Nat Genet 43:
Figure S1. Syntenic map of SAE1B duplication. We have used the nucleotide sequences of Arabidopsis thaliana Col-0 gene tandem duplicates AT5G50580 and AT5G506800 as queries in independent BLASTN searches
More informationQTL Mapping, MAS, and Genomic Selection
QTL Mappig, MAS, ad Geomic Selectio Dr. Be Hayes Departmet of Primary Idustries Victoria, Australia A short-course orgaized by Aimal Breedig & Geetics Departmet of Aimal Sciece Iowa State Uiversity Jue
More informationA new iterative algorithm for reconstructing a signal from its dyadic wavelet transform modulus maxima
ol 46 No 6 SCIENCE IN CHINA (Series F) December 3 A ew iterative algorithm for recostructig a sigal from its dyadic wavelet trasform modulus maxima ZHANG Zhuosheg ( u ), LIU Guizhog ( q) & LIU Feg ( )
More informationDuplicated Gene Evolution Following Whole-Genome Duplication in Teleost Fish
Duplicated Gene Evolution Following Whole-Genome Duplication in Teleost Fish Baocheng Guo 1,2,3, Andreas Wagner 1,2 and Shunping He 3* 1 Institute of Evolutionary Biology and Environmental Studies, University
More informationEvaluation of Genome Sequencing Quality in Selected Plant Species Using Expressed Sequence Tags
Evaluation of Genome Sequencing Quality in Selected Plant Species Using Expressed Sequence Tags Lingfei Shangguan 1, Jian Han 1, Emrul Kayesh 1, Xin Sun 1, Changqing Zhang 2, Tariq Pervaiz 1, Xicheng Wen
More informationDeterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns
To appear i the Proceedigs of the 5 IEEE outheastco, (Ft. Lauderdale, FL), April 5 Determiistic Model of Multipath Fadig for Circular ad Parabolic Reflector Patters Dwight K. Hutcheso dhutche@clemso.edu
More informationSupplementary Information for: The genome of the extremophile crucifer Thellungiella parvula
Supplementary Information for: The genome of the extremophile crucifer Thellungiella parvula Maheshi Dassanayake 1,9, Dong-Ha Oh 1,9, Jeffrey S. Haas 1,2, Alvaro Hernandez 3, Hyewon Hong 1,4, Shahjahan
More informationBasics of Probability Theory (for Theory of Computation courses)
Basics of Probability Theory (for Theory of Computatio courses) Oded Goldreich Departmet of Computer Sciece Weizma Istitute of Sciece Rehovot, Israel. oded.goldreich@weizma.ac.il November 24, 2008 Preface.
More information11 Hidden Markov Models
Hidde Markov Models Hidde Markov Models are a popular machie learig approach i bioiformatics. Machie learig algorithms are preseted with traiig data, which are used to derive importat isights about the
More informationThe random version of Dvoretzky s theorem in l n
The radom versio of Dvoretzky s theorem i l Gideo Schechtma Abstract We show that with high probability a sectio of the l ball of dimesio k cε log c > 0 a uiversal costat) is ε close to a multiple of the
More informationA goodness-of-fit test based on the empirical characteristic function and a comparison of tests for normality
A goodess-of-fit test based o the empirical characteristic fuctio ad a compariso of tests for ormality J. Marti va Zyl Departmet of Mathematical Statistics ad Actuarial Sciece, Uiversity of the Free State,
More informationCorrespondence should be addressed to Wing-Sum Cheung,
Hidawi Publishig Corporatio Joural of Iequalities ad Applicatios Volume 2009, Article ID 137301, 7 pages doi:10.1155/2009/137301 Research Article O Pečarić-Raić-Dragomir-Type Iequalities i Normed Liear
More informationFossils Biology 2 Thursday, January 31, 2013
Fossils Biology 2 Evolution Change in the genetic composition of a group of organisms over time. Causes: Natural Selection Artificial Selection Genetic Engineering Genetic Drift Hybridization Mutation
More informationStage 1: Karyotype Stage 2: Gene content & order Step 3
Supplementary Figure Method used for ancestral genome reconstruction. MRCA (Most Recent Common Ancestor), AMK (Ancestral Monocot Karyotype), AEK (Ancestral Eudicot Karyotype), AGK (Ancestral Grass Karyotype)
More informationGenome-wide Identification of Lineage Specific Genes in Arabidopsis, Oryza and Populus
Genome-wide Identification of Lineage Specific Genes in Arabidopsis, Oryza and Populus Xiaohan Yang Sara Jawdy Timothy Tschaplinski Gerald Tuskan Environmental Sciences Division Oak Ridge National Laboratory
More informationMolecular Mechanisms of Gas Diffusion in CO 2 Hydrates
Supportig Iformatio Molecular Mechaisms of Gas Diffusio i CO Hydrates Shuai Liag, * Deqig Liag, Negyou Wu,,3 Lizhi Yi, ad Gaowei Hu,3 Key Laboratory of Gas Hydrate, Guagzhou Istitute of Eergy Coversio,
More informationPaleoGenomics & Evolution (group PaleoEVO). UMR1095 INRA UBP Génétique, Diversité & Ecophysiologie des Céréales
TranscriptomePartitioning Following Polyploidization Events in Grasses Journée Transcriptome URGV 1 Mai 13 Plant and Animal Genomes SPECIES COMMON NAME CHROMOSOMES GENOME (MB) ANNOTATED GENES SYNTENY DUPLICATION
More informationMeiosis and Sexual Life Cycles
Chapter 13 Meiosis ad Sexual Life Cycles Dr. Wedy Sera Housto Commuity College Biology 1406 Variatios o a Theme Livig orgaisms are distiguished by their ability to reproduce their ow kid Geetics is the
More informationSequences of Definite Integrals, Factorials and Double Factorials
47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology
More informationStat 319 Theory of Statistics (2) Exercises
Kig Saud Uiversity College of Sciece Statistics ad Operatios Research Departmet Stat 39 Theory of Statistics () Exercises Refereces:. Itroductio to Mathematical Statistics, Sixth Editio, by R. Hogg, J.
More informationThe Sampling Distribution of the Maximum. Likelihood Estimators for the Parameters of. Beta-Binomial Distribution
Iteratioal Mathematical Forum, Vol. 8, 2013, o. 26, 1263-1277 HIKARI Ltd, www.m-hikari.com http://d.doi.org/10.12988/imf.2013.3475 The Samplig Distributio of the Maimum Likelihood Estimators for the Parameters
More informationWhole-genome duplications and paleopolyploidy
Whole-genome duplications and paleopolyploidy Whole-genome duplications in protozoa Aury et al. (2006) analyzed the unicellular eukaryote Paramecium tetraurelia most of 40,000 genes arose through at least
More informationComparing Genomes! Homologies and Families! Sequence Alignments!
Comparing Genomes! Homologies and Families! Sequence Alignments! Allows us to achieve a greater understanding of vertebrate evolution! Tells us what is common and what is unique between different species
More informationEstimating the size of the transcriptome
Itroductio Poisso Dirichlet process Results Summary Estimatig the size of the trascriptome Statistical Modelig ad Machie Learig i Computatioal Systems Biology Jue -6, 9, Tampere, Filad Ole Wither Techical
More informationHashing. Algorithm : Design & Analysis [09]
Hashig Algorithm : Desig & Aalysis [09] I the last class Implemetig Dictioary ADT Defiitio of red-black tree Black height Isertio ito a red-black tree Deletio from a red-black tree Hashig Hashig Collisio
More informationHow to detect paleoploidy?
Genome duplications (polyploidy) / ancient genome duplications (paleopolyploidy) How to detect paleoploidy? e.g. a diploid cell undergoes failed meiosis, producing diploid gametes, which selffertilize
More informationBivariate Sample Statistics Geog 210C Introduction to Spatial Data Analysis. Chris Funk. Lecture 7
Bivariate Sample Statistics Geog 210C Itroductio to Spatial Data Aalysis Chris Fuk Lecture 7 Overview Real statistical applicatio: Remote moitorig of east Africa log rais Lead up to Lab 5-6 Review of bivariate/multivariate
More informationThe sex-determining locus in the tiger pufferfish, Takifugu rubripes. Kiyoshi Asahina and Yuzuru Suzuki
The sex-determining locus in the tiger pufferfish, Takifugu rubripes Kiyoshi Kikuchi*, Wataru Kai*, Ayumi Hosokawa*, Naoki Mizuno, Hiroaki Suetake, Kiyoshi Asahina and Yuzuru Suzuki Fisheries Laboratory,
More informationSequential Monte Carlo Methods - A Review. Arnaud Doucet. Engineering Department, Cambridge University, UK
Sequetial Mote Carlo Methods - A Review Araud Doucet Egieerig Departmet, Cambridge Uiversity, UK http://www-sigproc.eg.cam.ac.uk/ ad2/araud doucet.html ad2@eg.cam.ac.uk Istitut Heri Poicaré - Paris - 2
More informationAccess to the published version may require journal subscription. Published with permission from: Elsevier.
This is a author produced versio of a paper published i Statistics ad Probability Letters. This paper has bee peer-reviewed, it does ot iclude the joural pagiatio. Citatio for the published paper: Forkma,
More informationLangford s Problem. Moti Ben-Ari. Department of Science Teaching. Weizmann Institute of Science.
Lagford s Problem Moti Be-Ari Departmet of Sciece Teachig Weizma Istitute of Sciece http://www.weizma.ac.il/sci-tea/beari/ c 017 by Moti Be-Ari. This work is licesed uder the Creative Commos Attributio-ShareAlike
More informationgi (NCBI databse: ES frame +2 (NCBI: databse
Figure legend for supplemental tables (S1-S6). The predicted and annotated amino acid sequences for the different LEA proteins found in the available databases (378) were analyzed using MEME software (Bailey
More informationBlock-by Block Convolution, FFT/IFFT, Digital Spectral Analysis
Lecture 9 Outlie: Block-by Block Covolutio, FFT/IFFT, Digital Spectral Aalysis Aoucemets: Readig: 5: The Discrete Fourier Trasform pp. 3-5, 8, 9+block diagram at top of pg, pp. 7. HW 6 due today with free
More informationA GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca
Idia J Pure Appl Math 45): 75-89 February 204 c Idia Natioal Sciece Academy A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS Mircea Merca Departmet of Mathematics Uiversity
More informationClass 27. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700
Class 7 Daiel B. Rowe, Ph.D. Departmet of Mathematics, Statistics, ad Computer Sciece Copyright 013 by D.B. Rowe 1 Ageda: Skip Recap Chapter 10.5 ad 10.6 Lecture Chapter 11.1-11. Review Chapters 9 ad 10
More informationImage Segmentation on Spiral Architecture
Image Segmetatio o Spiral Architecture Qiag Wu, Xiagjia He ad Tom Hitz Departmet of Computer Systems Uiversity of Techology, Sydey PO Box 3, Broadway Street, Sydey 007, Australia {wuq,sea,hitz}@it.uts.edu.au
More informationWhat Is an Animal? Section 25.1 Typical Animal Characteristics. I. Characteristics of Animals. Biology II Mrs. Michaelsen
What Is an Animal? Section 25.1 Typical Animal Characteristics Biology II Mrs. Michaelsen I. Characteristics of Animals A. All animals are eukaryotic, multicellular, have ways of moving to reproduce, obtain
More informationVariable selection in principal components analysis of qualitative data using the accelerated ALS algorithm
Variable selectio i pricipal compoets aalysis of qualitative data usig the accelerated ALS algorithm Masahiro Kuroda Yuichi Mori Masaya Iizuka Michio Sakakihara (Okayama Uiversity of Sciece) (Okayama Uiversity
More informationQuantum Annealing for Heisenberg Spin Chains
LA-UR # - Quatum Aealig for Heiseberg Spi Chais G.P. Berma, V.N. Gorshkov,, ad V.I.Tsifriovich Theoretical Divisio, Los Alamos Natioal Laboratory, Los Alamos, NM Istitute of Physics, Natioal Academy of
More informationMidtermII Review. Sta Fall Office Hours Wednesday 12:30-2:30pm Watch linear regression videos before lab on Thursday
Aoucemets MidtermII Review Sta 101 - Fall 2016 Duke Uiversity, Departmet of Statistical Sciece Office Hours Wedesday 12:30-2:30pm Watch liear regressio videos before lab o Thursday Dr. Abrahamse Slides
More informationA. Hubler, G. Foster, K. Phelps, Managing chaos: Thinking out of the box, Complexity 12, (2007). Managing Chaos
A. Hubler, G. Foster, K. Phelps, Maagig chaos: Thikig out of the box, Complexity 12, 10-13 (2007). Maagig Chaos Alfred W. Hübler, Gle C. Foster, ad Kirsti C. Phelps Alfred Hubler ad Gle Foster are at Ceter
More informationMultilayer perceptrons
Multilayer perceptros If traiig set is ot liearly separable, a etwork of McCulloch-Pitts uits ca give a solutio If o loop exists i etwork, called a feedforward etwork (else, recurret etwork) A two-layer
More informationA Note on Matrix Rigidity
A Note o Matrix Rigidity Joel Friedma Departmet of Computer Sciece Priceto Uiversity Priceto, NJ 08544 Jue 25, 1990 Revised October 25, 1991 Abstract I this paper we give a explicit costructio of matrices
More informationConfidence interval for the two-parameter exponentiated Gumbel distribution based on record values
Iteratioal Joural of Applied Operatioal Research Vol. 4 No. 1 pp. 61-68 Witer 2014 Joural homepage: www.ijorlu.ir Cofidece iterval for the two-parameter expoetiated Gumbel distributio based o record values
More informationBiology Unit 1 Warm Ups. Mrs. Hilliard
Biology Unit 1 Warm Ups Mrs. Hilliard Communication in Science Choose one of the three topics to write a detailed procedure for. 1. How to make a peanut butter and jelly sandwich. 2. How to brush your
More informationA computational analysis of Salt Overly Sensitive 1 homologs in halophytes and glycophytes
A computational analysis of Salt Overly Sensitive 1 homologs in halophytes and glycophytes Cherin E. Kim 1 and Ray A. Bressan 2 1 West Lafayette Jr./Sr. High School, West Lafayette, IN, USA 2 Department
More informationLecture 21: Meiosis Lecture outline 10/25/05
Lecture 21: Meiosis Lecture outlie 10/25/05 Review mitosis Fiish cell cycle Mutatios i checkpoit gees ca lead to cacer Sexual ad asexual life cycles Meiosis Stages of meiosis Idepedet assortmet ad Crossig
More informationPAijpam.eu ON TENSOR PRODUCT DECOMPOSITION
Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314
More informationEstimates of (1 + x) 1/x Involved in Carleman s Inequality and Keller s Limit
Filomat 29:7 205, 535 539 DOI 0.2298/FIL507535M Published by Faculty of Scieces Mathematics, Uiversity of Niš, Serbia Available at: http://www.pmf.i.ac.rs/filomat Estimates of + x /x Ivolved i Carlema
More informationChapter 12 Correlation
Chapter Correlatio Correlatio is very similar to regressio with oe very importat differece. Regressio is used to explore the relatioship betwee a idepedet variable ad a depedet variable, whereas correlatio
More informationNOTES ON DISTRIBUTIONS
NOTES ON DISTRIBUTIONS MICHAEL N KATEHAKIS Radom Variables Radom variables represet outcomes from radom pheomea They are specified by two objects The rage R of possible values ad the frequecy fx with which
More informationRunning Races with Fraser s Recombination
Ruig Races with Fraser s Recombiatio David B. Fogel Natural Selectio, Ic. 3333 N. Torrey Pies Ct., Suite 200 La Jolla, CA 92037 dfogel@atural-selectio.com Alex S. Fraser Professor, Emeritus Uiversity of
More informationAverage Number of Real Zeros of Random Fractional Polynomial-II
Average Number of Real Zeros of Radom Fractioal Polyomial-II K Kadambavaam, PG ad Research Departmet of Mathematics, Sri Vasavi College, Erode, Tamiladu, Idia M Sudharai, Departmet of Mathematics, Velalar
More informationMaximum likelihood estimation from record-breaking data for the generalized Pareto distribution
METRON - Iteratioal Joural of Statistics 004, vol. LXII,. 3, pp. 377-389 NAGI S. ABD-EL-HAKIM KHALAF S. SULTAN Maximum likelihood estimatio from record-breakig data for the geeralized Pareto distributio
More informationEE 505. Lecture 28. ADC Design SAR
EE 505 Lecture 28 ADC Desig SAR Review from Last Lecture Elimiatio of Iput S/H C LK X IN S/H Stage 1 r 1 Stage 2 r 2 Stage k r k Stage m r m 1 2 k m Pipelied Assembler (Shift Register
More informationA MATHEMATICA PACKAGE FOR COMPUTING ASYMPTOTIC EXPANSIONS OF SOLUTIONS OF P-FINITE RECURRENCE EQUATIONS. 1. The Problem
A MATHEMATICA PACKAGE FOR COMPUTING ASYMPTOTIC EXPANSIONS OF SOLUTIONS OF P-FINITE RECURRENCE EQUATIONS MANUEL KAUERS Abstract. We describe a simple package for computig a fudametal system of certai formal
More informationRandom Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.
Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)
More informationEE260: Digital Design, Spring n Binary Addition. n Complement forms. n Subtraction. n Multiplication. n Inputs: A 0, B 0. n Boolean equations:
EE260: Digital Desig, Sprig 2018 EE 260: Itroductio to Digital Desig Arithmetic Biary Additio Complemet forms Subtractio Multiplicatio Overview Yao Zheg Departmet of Electrical Egieerig Uiversity of Hawaiʻi
More informationCS161 Design and Analysis of Algorithms. Administrative
CS161 Desig ad Aalysis of Algorithms Da Boeh 1 Admiistrative Lecture 1, April 3, 1 Web page http://theory.staford.edu/~dabo/cs161» Hadouts» Aoucemets» Late breakig ews Gradig ad course requiremets» Midterm/fial/hw»
More informationFLUID LIMIT FOR CUMULATIVE IDLE TIME IN MULTIPHASE QUEUES. Akademijos 4, LT-08663, Vilnius, LITHUANIA 1,2 Vilnius University
Iteratioal Joural of Pure ad Applied Mathematics Volume 95 No. 2 2014, 123-129 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/10.12732/ijpam.v95i2.1
More informationPipelined and Parallel Recursive and Adaptive Filters
VLSI Digital Sigal Processig Systems Pipelied ad Parallel Recursive ad Adaptive Filters La-Da Va 范倫達, Ph. D. Departmet of Computer Sciece Natioal Chiao ug Uiversity aiwa, R.O.C. Fall, 05 ldva@cs.ctu.edu.tw
More informationMath 140 Introductory Statistics
8.2 Testig a Proportio Math 1 Itroductory Statistics Professor B. Abrego Lecture 15 Sectios 8.2 People ofte make decisios with data by comparig the results from a sample to some predetermied stadard. These
More informationChapter 5 Cell Division
Chapter 5 Cell Divisio 5.1 Cell Icrease ad Decrease Cell divisio icreases the umber of somatic cells (body cells) Zygote Adult huma (sigle cell) (trillios of cells) The Cell Cycle 5.1 Cell Icrease ad Decrease
More information1 ATGGGTCTC 2 ATGAGTCTC
We need an optimality criterion to choose a best estimate (tree) Other optimality criteria used to choose a best estimate (tree) Parsimony: begins with the assumption that the simplest hypothesis that
More informationSome Properties of the Exact and Score Methods for Binomial Proportion and Sample Size Calculation
Some Properties of the Exact ad Score Methods for Biomial Proportio ad Sample Size Calculatio K. KRISHNAMOORTHY AND JIE PENG Departmet of Mathematics, Uiversity of Louisiaa at Lafayette Lafayette, LA 70504-1010,
More information2.004 Dynamics and Control II Spring 2008
MIT OpeCourseWare http://ocw.mit.edu 2.004 Dyamics ad Cotrol II Sprig 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Istitute of Techology
More informationImproving the Localization of Eigenvalues for Complex Matrices
Applied Mathematical Scieces, Vol. 5, 011, o. 8, 1857-1864 Improvig the Localizatio of Eigevalues for Complex Matrices P. Sargolzaei 1, R. Rakhshaipur Departmet of Mathematics, Uiversity of Sista ad Baluchesta
More informationSome New Iterative Methods for Solving Nonlinear Equations
World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida
More informationMarine medaka ATP-binding cassette (ABC) superfamily and new insight into teleost Abch nomenclature
Supplementary file for: Marine medaka ATP-binding cassette (ABC) superfamily and new insight into teleost Abch nomenclature Chang-Bum Jeong a,b,#, Bo-Mi Kim a,#, Hye-Min Kang a, Ik-Young Choi c, Jae-Sung
More informationLecture 2: Concentration Bounds
CSE 52: Desig ad Aalysis of Algorithms I Sprig 206 Lecture 2: Cocetratio Bouds Lecturer: Shaya Oveis Ghara March 30th Scribe: Syuzaa Sargsya Disclaimer: These otes have ot bee subjected to the usual scrutiy
More informationRank Modulation with Multiplicity
Rak Modulatio with Multiplicity Axiao (Adrew) Jiag Computer Sciece ad Eg. Dept. Texas A&M Uiversity College Statio, TX 778 ajiag@cse.tamu.edu Abstract Rak modulatio is a scheme that uses the relative order
More informationEstimation of Population Mean Using Co-Efficient of Variation and Median of an Auxiliary Variable
Iteratioal Joural of Probability ad Statistics 01, 1(4: 111-118 DOI: 10.593/j.ijps.010104.04 Estimatio of Populatio Mea Usig Co-Efficiet of Variatio ad Media of a Auxiliary Variable J. Subramai *, G. Kumarapadiya
More informationMATH/STAT 352: Lecture 15
MATH/STAT 352: Lecture 15 Sectios 5.2 ad 5.3. Large sample CI for a proportio ad small sample CI for a mea. 1 5.2: Cofidece Iterval for a Proportio Estimatig proportio of successes i a biomial experimet
More informationComplex Analysis Spring 2001 Homework I Solution
Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle
More informationThe Enhanced Morlet Transform via Iterative Filter to Study Turbulent Data Strings
THE 6 TH ASIAN COMPUTAITIONAL FLUID DYNAMICS CONFERENCE TAIWAN, AUGUST 3~AUGUST 7, 5 The Ehaced Morlet Trasform via Iterative Filter to Study Turbulet Data Strigs Y.-N.Jeg 1, C.-T. Che ad Y.-C. Cheg 3
More informationFrequentist Inference
Frequetist Iferece The topics of the ext three sectios are useful applicatios of the Cetral Limit Theorem. Without kowig aythig about the uderlyig distributio of a sequece of radom variables {X i }, for
More informationCS537. Numerical Analysis and Computing
CS57 Numerical Aalysis ad Computig Lecture Locatig Roots o Equatios Proessor Ju Zhag Departmet o Computer Sciece Uiversity o Ketucky Leigto KY 456-6 Jauary 9 9 What is the Root May physical system ca be
More information