Table S1. Summary of datasets used in this study

Size: px
Start display at page:

Download "Table S1. Summary of datasets used in this study"

Transcription

1 Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is The Royal Society of Chemistry 206 Table S. Summary of datasets used in this study No DOI number for paper Publication year Disinfectant residual type Country of sampling Sampling points Sequencing instrument Hypervariable region amplified Reference number Number of treatment plants Average % of matches in SILVA database 0.06/j.watres Chlorinated UK POU Illumina Miseq V % ± 3.79% 2 doi: 0.06/j.watres Chlorinated UK DWDS Roche 454 FLX V-V /j.watres Chlorinated/Chloraminated USA POU Roche 454 FLX Titanium V-V % ± 6.22% 79.69% ± 2.42% /j.ecoenv Chlorinated China DWTP outlet, POU Roche 454 FLX Titanium V3-V4 37 * 6.6% ± 2.48% /AEM Chlorinated/Chloraminated USA DWDS Roche 454 FLX Titanium V4-V % ± 3.88% /journal.pone Chlorinated/Chloraminated USA DWTP outlet, POU Illimina Miseq V /acs.est.5b Chlorinated China DWTP outlet, POU Roche 454 FLX Titanium V-V * 67.2% ± 8.08% 85.28% ± 8.29% /j.watres Chlorinated China DWTP outlet Roche 454 FLX V-V % /es No disinfectant residual Netherlands POU Roche 454 FLX Titanium V4-V6 26 ** 63.6% ± 4.24% /mBio Chloraminated USA DWTP outlet, POU Roche 454 GS-FLX V4-V5 7 0./ No disinfectant residual Netherlands DWDS Illumina MiSeq/Roche 454 GS-FLX /es502646d 204 Chlorinated/Chloraminated USA DWDS V4 and V5- V6 Illumina MiSeq V ** 69.98% ± 2.3% 45.22% ± 6.65% 68.93% ± 2.65% /s Chloraminated China DWTP outlet, POU Roche 454 GS-FLX V3-V % ± 0.64% /AEM Chloraminated Australia DWTP outlet, DWDS Ion Torrent V % ± 6.82% *Both studies sampled at the same treatment plant **Plant from study No.9 may have been sampled in study No.

2 Figure S: The number of samples retained (primary Y-axes, blue squares) with increasing subsampling depths and their corresponding Good s coverage (secondary Y-axes, red squares) is shown. A subsampling depth of 500 sequences per sample was chosen as this allowed for an average Good s coverage 0.8 while retaining maximum number of samples (42 out of 45) in the analyses. Number'of'samples' Average'Good's'coverage' Number of samples Average Good's coverage Subsampling depth!

3 Figure S2: Workflow illustrating data collection, data processing and data analysis steps. Data$collec)on$ Data$processing$ Data$analysis$ 6S,rRNA,gene:based, studies.,, Samples,from,full,scale, drinking,water,systems,, Sampling,points:,DWTP outlet,, DWDS,,Point,of,use., Microbial,regrowth, control,strategies:, Chlorinated, Chloraminated, Disinfectant, residual,free, Single,end, Fastq,files, sickle,v..33,,,(min,quality, score=28;,min, length=50bp),, Paired,end, Fastq,files, pear,v , (min,quality, score=28;,min, length=50bp),,, Fastq,to,FASTA,format,using, the,fastq_to_fasta,command, from,fastx:toolkit,v ,, In,mothur,,unique.seqs., blastn,against,the,silva,9,ssuref_nr, database,(iden\ty,,97%,,e: value< ),, Extrac\on,of,full,length,sequences,from, SILVA,database., Data,colla\on, In,mothur:, Best:match,sequences,were,aligned,against,the, SILVA,seed,alignment.,, screen.seqs,command,(ver\cal,=t,and,trump,=.),, OTU,clustering,(cutoff,97%),, Taxonomic,classifica\on,(command,classify.seq), using,silva,taxonomy., Subsampled, OTU,table, (a), Full,dataset, (b), Taxonomic, classifica\on, Fasta,file, (OTUs), (3), Alpha,diversity,es\mates,(observed, OTUs,,Inverse,Simpson,index,, Shannon,index,,Pielou s,evenness), Beta,diversity,(Bray,Cur\s,distances), PERMANOVA,(func\on,Adonis),, Mean,rela\ve,abundance,of,taxonomic, groups,,otus,,poten\al,opportunis\c, pathogens,,target,groups,(nitrifiers,and, predatory,bacteria), Phylogene\c,tree,construc\on,in, RaxML, Es\ma\on,of,poten\al, contamina\on, Tax4Fun,,metabolic,profile, predic\on, Explanatory, variables, (4), (a), (4), (b), (3), (b), (a),

4 Figure S3: Heatmap of OTU abundance (OTUs with relative abundance >0.0% in the subsampled OTU table). Abundances were scaled with a Z-score transformation to improve visualization. The sampling location dendrogram was generated with Bray Curtis distances and UPGMA clustering method. Grouping information is indicated by the color legend (Chl: chlorinated, Chm: chloraminated, Drf: disinfectant residual-free). Sampling)loca,ons)

5 Figure S4: Dendrogram of sampling locations generated with Bray Curtis distances and UPGMA clustering method. Color legends indicate type of source water (SW: surface water; GW: groundwater; Mix: mixed source water including surface water, groundwater and desalinated seawater), and disinfection group (Chl: chlorinated, Chm: chloraminated, Drf: disinfectant residual-free). Reference numbers of each dataset are at the bottom of the plot.

Nature Biotechnology: doi: /nbt Supplementary Figure 1. Detailed overview of the primer-free full-length SSU rrna library preparation.

Nature Biotechnology: doi: /nbt Supplementary Figure 1. Detailed overview of the primer-free full-length SSU rrna library preparation. Supplementary Figure 1 Detailed overview of the primer-free full-length SSU rrna library preparation. Detailed overview of the primer-free full-length SSU rrna library preparation. Supplementary Figure

More information

Multivariate Statistics 101. Ordination (PCA, NMDS, CA) Cluster Analysis (UPGMA, Ward s) Canonical Correspondence Analysis

Multivariate Statistics 101. Ordination (PCA, NMDS, CA) Cluster Analysis (UPGMA, Ward s) Canonical Correspondence Analysis Multivariate Statistics 101 Ordination (PCA, NMDS, CA) Cluster Analysis (UPGMA, Ward s) Canonical Correspondence Analysis Multivariate Statistics 101 Copy of slides and exercises PAST software download

More information

Other resources. Greengenes (bacterial) Silva (bacteria, archaeal and eukarya)

Other resources. Greengenes (bacterial)  Silva (bacteria, archaeal and eukarya) General QIIME resources http://qiime.org/ Blog (news, updates): http://qiime.wordpress.com/ Support/forum: https://groups.google.com/forum/#!forum/qiimeforum Citing QIIME: Caporaso, J.G. et al., QIIME

More information

Supplementary Information

Supplementary Information Supplementary Information Table S1. Per-sample sequences, observed OTUs, richness estimates, diversity indices and coverage. Samples codes as follows: YED (Young leaves Endophytes), MED (Mature leaves

More information

Amplicon Sequencing. Dr. Orla O Sullivan SIRG Research Fellow Teagasc

Amplicon Sequencing. Dr. Orla O Sullivan SIRG Research Fellow Teagasc Amplicon Sequencing Dr. Orla O Sullivan SIRG Research Fellow Teagasc What is Amplicon Sequencing? Sequencing of target genes (are regions of ) obtained by PCR using gene specific primers. Why do we do

More information

Changes in dissolved organic matter composition and disinfection byproduct precursors in advanced drinking water treatment processes

Changes in dissolved organic matter composition and disinfection byproduct precursors in advanced drinking water treatment processes Supporting Information Changes in dissolved organic matter composition and disinfection byproduct precursors in advanced drinking water treatment processes Phanwatt Phungsai, Futoshi Kurisu*, Ikuro Kasuga,

More information

DNA metabarcoding reveals diverse but selective diet of three-spined stickleback in a coastal ecosystem

DNA metabarcoding reveals diverse but selective diet of three-spined stickleback in a coastal ecosystem DNA metabarcoding reveals diverse but selective diet of three-spined stickleback in a coastal ecosystem Jakubavičiūtė E* 1, Bergström U 2, Haenel Q 3, Bourlat SJ 4, Eklöf J 5 1 Nature Research Centre,

More information

Title ghost-tree: creating hybrid-gene phylogenetic trees for diversity analyses

Title ghost-tree: creating hybrid-gene phylogenetic trees for diversity analyses 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 Title ghost-tree: creating hybrid-gene phylogenetic trees for diversity analyses

More information

Characterizing and predicting cyanobacterial blooms in an 8-year

Characterizing and predicting cyanobacterial blooms in an 8-year 1 2 3 4 5 Characterizing and predicting cyanobacterial blooms in an 8-year amplicon sequencing time-course Authors Nicolas Tromas 1*, Nathalie Fortin 2, Larbi Bedrani 1, Yves Terrat 1, Pedro Cardoso 4,

More information

Supplementary Materials for

Supplementary Materials for advances.sciencemag.org/cgi/content/full/2/1/e1500997/dc1 Supplementary Materials for Social behavior shapes the chimpanzee pan-microbiome Andrew H. Moeller, Steffen Foerster, Michael L. Wilson, Anne E.

More information

Mathematical models for prediction of trihalomethanes in drinking water

Mathematical models for prediction of trihalomethanes in drinking water 19th International Congress on Modelling and Simulation, Perth, Australia, 12 16 December 2011 http://mssanz.org.au/modsim2011 Mathematical models for prediction of trihalomethanes in drinking water J.

More information

Lecture 2: Diversity, Distances, adonis. Lecture 2: Diversity, Distances, adonis. Alpha- Diversity. Alpha diversity definition(s)

Lecture 2: Diversity, Distances, adonis. Lecture 2: Diversity, Distances, adonis. Alpha- Diversity. Alpha diversity definition(s) Lecture 2: Diversity, Distances, adonis Lecture 2: Diversity, Distances, adonis Diversity - alpha, beta (, gamma) Beta- Diversity in practice: Ecological Distances Unsupervised Learning: Clustering, etc

More information

Multivariate Data Analysis a survey of data reduction and data association techniques: Principal Components Analysis

Multivariate Data Analysis a survey of data reduction and data association techniques: Principal Components Analysis Multivariate Data Analysis a survey of data reduction and data association techniques: Principal Components Analysis For example Data reduction approaches Cluster analysis Principal components analysis

More information

FIG S1: Rarefaction analysis of observed richness within Drosophila. All calculations were

FIG S1: Rarefaction analysis of observed richness within Drosophila. All calculations were Page 1 of 14 FIG S1: Rarefaction analysis of observed richness within Drosophila. All calculations were performed using mothur (2). OTUs were defined at the 3% divergence threshold using the average neighbor

More information

Supplementary Material

Supplementary Material Supplementary Material The impact of logging and forest conversion to oil palm on soil bacterial communities in Borneo Larisa Lee-Cruz 1, David P. Edwards 2,3, Binu Tripathi 1, Jonathan M. Adams 1* 1 Department

More information

Taxonomy and Clustering of SSU rrna Tags. Susan Huse Josephine Bay Paul Center August 5, 2013

Taxonomy and Clustering of SSU rrna Tags. Susan Huse Josephine Bay Paul Center August 5, 2013 Taxonomy and Clustering of SSU rrna Tags Susan Huse Josephine Bay Paul Center August 5, 2013 Primary Methods of Taxonomic Assignment Bayesian Kmer Matching RDP http://rdp.cme.msu.edu Wang, et al (2007)

More information

Partnering with LANDFIRE, NatureServe, and Heritage Programs. Utilizing Legacy Data for Ecological Site Concept Development and Descriptions

Partnering with LANDFIRE, NatureServe, and Heritage Programs. Utilizing Legacy Data for Ecological Site Concept Development and Descriptions Partnering with LANDFIRE, NatureServe, and Heritage Programs Utilizing Legacy Data for Ecological Site Concept Development and Descriptions Content LANDFIRE: BpS vs. EVT LANDFIRE: Disturbance Models NatureServe:

More information

Exploring Microbes in the Sea. Alma Parada Postdoctoral Scholar Stanford University

Exploring Microbes in the Sea. Alma Parada Postdoctoral Scholar Stanford University Exploring Microbes in the Sea Alma Parada Postdoctoral Scholar Stanford University Cruising the ocean to get us some microbes It s all about the Microbe! Microbes = microorganisms an organism that requires

More information

Microbiome: 16S rrna Sequencing 3/30/2018

Microbiome: 16S rrna Sequencing 3/30/2018 Microbiome: 16S rrna Sequencing 3/30/2018 Skills from Previous Lectures Central Dogma of Biology Lecture 3: Genetics and Genomics Lecture 4: Microarrays Lecture 12: ChIP-Seq Phylogenetics Lecture 13: Phylogenetics

More information

Tailoring activated carbon for enhanced adsorption of disinfection byproduct precursors

Tailoring activated carbon for enhanced adsorption of disinfection byproduct precursors Tailoring activated carbon for enhanced adsorption of disinfection byproduct precursors Thien D. Do, M.S. Julian L. Fairey, Ph.D., P.E. Southwest AWWA Annual Conference October 12-14, 2014, Tulsa, OK DBP

More information

Nonmetals are located on the right side of the periodic table and are generally dull, brittle, and poor conductors.

Nonmetals are located on the right side of the periodic table and are generally dull, brittle, and poor conductors. Section 2: are located on the right side of the periodic table and are generally dull, brittle, and poor conductors. K What I Know W What I Want to Find Out L What I Learned Essential Questions How do

More information

Supplementary Information

Supplementary Information Supplementary Information Supplementary Figure 1. Schematic pipeline for single-cell genome assembly, cleaning and annotation. a. The assembly process was optimized to account for multiple cells putatively

More information

concentration ( mol l -1 )

concentration ( mol l -1 ) concentration ( mol l -1 ) 8 10 0 20 40 60 80 100 120 140 160 180 methane sulfide ammonium oxygen sulfate (/10) b depth (m) 12 14 Supplementary Figure 1. Water column parameters from August 2011. Chemical

More information

Ion Torrent. The chip is the machine

Ion Torrent. The chip is the machine Ion Torrent Introduction The Ion Personal Genome Machine [PGM] is simple, more costeffective, and more scalable than any other sequencing technology. Founded in 2007 by Jonathan Rothberg. Part of Life

More information

STATISTICS Relationships between variables: Correlation

STATISTICS Relationships between variables: Correlation STATISTICS 16 Relationships between variables: Correlation The gentleman pictured above is Sir Francis Galton. Galton invented the statistical concept of correlation and the use of the regression line.

More information

Flowchart. (b) (c) (d)

Flowchart. (b) (c) (d) Flowchart (c) (b) (d) This workflow consists of the following steps: alpha diversity (microbial community evenness and richness) d1) Generate rarefied OTU tables (mulbple_rarefacbons.py) d2) Compute measures

More information

2/19/2018. Dataset: 85,122 islands 19,392 > 1km 2 17,883 with data

2/19/2018. Dataset: 85,122 islands 19,392 > 1km 2 17,883 with data The group numbers are arbitrary. Remember that you can rotate dendrograms around any node and not change the meaning. So, the order of the clusters is not meaningful. Taking a subset of the data changes

More information

INTRODUCTION TO MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA

INTRODUCTION TO MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA INTRODUCTION TO MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA David Zelený & Ching-Feng Li INTRODUCTION TO MULTIVARIATE ANALYSIS Ecologial similarity similarity and distance indices Gradient analysis regression,

More information

Taxonomical Classification using:

Taxonomical Classification using: Taxonomical Classification using: Extracting ecological signal from noise: introduction to tools for the analysis of NGS data from microbial communities Bergen, April 19-20 2012 INTRODUCTION Taxonomical

More information

Computational engineering of cellulase Cel9A-68 functional motions through mutations in its linker region. WT 1TF4 (crystal) -90 ERRAT PROVE VERIFY3D

Computational engineering of cellulase Cel9A-68 functional motions through mutations in its linker region. WT 1TF4 (crystal) -90 ERRAT PROVE VERIFY3D Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 218 Supplementary Material: Computational engineering of cellulase Cel9-68 functional

More information

BINF6201/8201. Molecular phylogenetic methods

BINF6201/8201. Molecular phylogenetic methods BINF60/80 Molecular phylogenetic methods 0-7-06 Phylogenetics Ø According to the evolutionary theory, all life forms on this planet are related to one another by descent. Ø Traditionally, phylogenetics

More information

Lecture: Mixture Models for Microbiome data

Lecture: Mixture Models for Microbiome data Lecture: Mixture Models for Microbiome data Lecture 3: Mixture Models for Microbiome data Outline: - - Sequencing thought experiment Mixture Models (tangent) - (esp. Negative Binomial) - Differential abundance

More information

ChemScan PROCESS ANALYZERS

ChemScan PROCESS ANALYZERS ChemScan PROCESS ANALYZERS, Applied Spectrometry Associates, Inc. www.chemscan.com ChemScan Application Summary #54 Peak Point Chloramination Control Rev. 9/ Over the past few years the EPA has tightened

More information

Lecture 3: Mixture Models for Microbiome data. Lecture 3: Mixture Models for Microbiome data

Lecture 3: Mixture Models for Microbiome data. Lecture 3: Mixture Models for Microbiome data Lecture 3: Mixture Models for Microbiome data 1 Lecture 3: Mixture Models for Microbiome data Outline: - Mixture Models (Negative Binomial) - DESeq2 / Don t Rarefy. Ever. 2 Hypothesis Tests - reminder

More information

A (short) introduction to phylogenetics

A (short) introduction to phylogenetics A (short) introduction to phylogenetics Thibaut Jombart, Marie-Pauline Beugin MRC Centre for Outbreak Analysis and Modelling Imperial College London Genetic data analysis with PR Statistics, Millport Field

More information

Please do not adjust margins. Fig. S1 Schematic representation of fabrication of polymer network entwined GO thin-film composite membrane.

Please do not adjust margins. Fig. S1 Schematic representation of fabrication of polymer network entwined GO thin-film composite membrane. Electronic Supplementary Material (ESI) for Journal of Materials Chemistry A. This journal is The Royal Society of Chemistry Please do 2016 not adjust margins Received 00th January 20xx, Accepted 00th

More information

CHLORAMINATION AND CHLORAMINE ANALYSIS SW AWWA 2014

CHLORAMINATION AND CHLORAMINE ANALYSIS SW AWWA 2014 CHLORAMINATION AND CHLORAMINE ANALYSIS SW AWWA 2014 COMBINED CHLORINE - CHLORAMINATION Chlorine (HOCl and OCl - ) reacts with ammonia to form chloramines, commonly referred to as combined chlorine The

More information

ST-DBSCAN: An Algorithm for Clustering Spatial-Temporal Data

ST-DBSCAN: An Algorithm for Clustering Spatial-Temporal Data ST-DBSCAN: An Algorithm for Clustering Spatial-Temporal Data Title Di Qin Carolina Department First Steering of Statistics Committee and Operations Research October 9, 2010 Introduction Clustering: the

More information

Supporting Information

Supporting Information Supporting Information Farrant et al. 1.173/pnas.1524865113 Prochlorococcus % % 8% % % 5% 4% 3% 2% 1% % A Assignment level: Phylum Genus SubCluster Clade Synechococcus % % 8% % % 5% 4% 3% 2% 1% % 1-26-125

More information

Isolation of atomically precise mixed ligand shell PdAu 24 clusters. Supporting Information

Isolation of atomically precise mixed ligand shell PdAu 24 clusters. Supporting Information Electronic Supplementary Material (ESI) for Nanoscale. This journal is The Royal Society of Chemistry 2016 Isolation of atomically precise mixed ligand shell PdAu 24 clusters - Supporting Information Annelies

More information

for XPS surface analysis

for XPS surface analysis Thermo Scientific Avantage XPS Software Powerful instrument operation and data processing for XPS surface analysis Avantage Software Atomic Concentration (%) 100 The premier software for surface analysis

More information

WASTEWATER CHLORINATION / DECHLORINATION MONITORING AND CONTROL PILOT DEMONSTRATION AT CITY OF GUELPH ONTARIO WWTF

WASTEWATER CHLORINATION / DECHLORINATION MONITORING AND CONTROL PILOT DEMONSTRATION AT CITY OF GUELPH ONTARIO WWTF WASTEWATER CHLORINATION / DECHLORINATION MONITORING AND CONTROL PILOT DEMONSTRATION AT CITY OF GUELPH ONTARIO WWTF Wei Zhang, Jeremy Leverence, Scott Kahle ASA Analytics June 29, 2017 At Ohio Water Environment

More information

Centrifuge: rapid and sensitive classification of metagenomic sequences

Centrifuge: rapid and sensitive classification of metagenomic sequences Centrifuge: rapid and sensitive classification of metagenomic sequences Daehwan Kim, Li Song, Florian P. Breitwieser, and Steven L. Salzberg Supplementary Material Supplementary Table 1 Supplementary Note

More information

MEMBRANE SURFACE PLANT MONTHLY OPERATIONAL REPORT TO ALABAMA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT MONTGOMERY, ALABAMA.

MEMBRANE SURFACE PLANT MONTHLY OPERATIONAL REPORT TO ALABAMA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT MONTGOMERY, ALABAMA. MEMBRANE SURFACE PLANT MONTHLY OPERATIONAL REPORT TO ALABAMA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT MONTGOMERY, ALABAMA Month & Year Water System Name Water Treatment Plant Name PWSID #AL000???? RAW WATER

More information

Using Topological Data Analysis to find discrimination between microbial states in human microbiome data

Using Topological Data Analysis to find discrimination between microbial states in human microbiome data Using Topological Data Analysis to find discrimination between microbial states in human microbiome data Mehrdad Yazdani 1,2, Larry Smarr 1,3 and Rob Knight 4 1 California Institute for Telecommunications

More information

Mitsuhiko Kawakami and Zhenjiang Shen Department of Civil Engineering Faculty of Engineering Kanazawa University Japan ABSTRACT

Mitsuhiko Kawakami and Zhenjiang Shen Department of Civil Engineering Faculty of Engineering Kanazawa University Japan ABSTRACT ABSTRACT Formulation of an Urban and Regional Planning System Based on a Geographical Information System and its Application - A Case Study of the Ishikawa Prefecture Area of Japan - Mitsuhiko Kawakami

More information

Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au Atoms

Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au Atoms Electronic Supplementary Material (ESI) for Catalysis Science & Technology. This journal is The Royal Society of Chemistry 214 Catalysis at the Sub-Nanoscale: Complex CO Oxidation Chemistry on a Few Au

More information

Please do not adjust margins. A high-rate aqueous rechargeable zinc ion battery based on VS nanocomposite

Please do not adjust margins. A high-rate aqueous rechargeable zinc ion battery based on VS nanocomposite Electronic Supplementary Material (ESI) for Journal of Materials Chemistry A. This journal is The Royal Society of Chemistry Please do 2018 not adjust margins Supplementary Information A high-rate aqueous

More information

MiSeq System. Denature and Dilute Libraries Guide

MiSeq System. Denature and Dilute Libraries Guide MiSeq System Denature and Dilute Libraries Guide Overview 3 Protocol A: Standard Normalization Method 4 Protocol B: Bead-Based Normalization Method 6 Denature and Dilute PhiX Control 7 Supplemental Information

More information

Supporting Information. Detection and Occurrence of Chlorinated By-products of Bisphenol A, Nonylphenol and

Supporting Information. Detection and Occurrence of Chlorinated By-products of Bisphenol A, Nonylphenol and 1 2 3 Supporting Information Detection and Occurrence of Chlorinated By-products of Bisphenol A, Nonylphenol and Estrogens in Drinking Water of China: Comparison to the Parent Compounds 4 5 6 7 8 1 Laboratory

More information

Science of Chloramination. Maine Water Utilities Association Michael Koza, Portland Water District June 2010

Science of Chloramination. Maine Water Utilities Association Michael Koza, Portland Water District June 2010 Science of Chloramination Michael Koza, Portland Water District June 2010 Chloramination The process of combining chlorine and ammonia to create a combined form of chlorine for drinking water disinfection

More information

Supplementary Material: Characterizing Changes in Drought Risk for the United States from Climate Change [1] October 12, 2010

Supplementary Material: Characterizing Changes in Drought Risk for the United States from Climate Change [1] October 12, 2010 Supplementary Material: Characterizing Changes in Drought Risk for the United States from Climate Change [1] Kenneth Strzepek a, Gary Yohe b, James Neumann c, Brent Boehlert d October 12, 2010 a Visiting

More information

Genomic insights into the taxonomic status of the Bacillus cereus group. Laboratory of Marine Genetic Resources, Third Institute of Oceanography,

Genomic insights into the taxonomic status of the Bacillus cereus group. Laboratory of Marine Genetic Resources, Third Institute of Oceanography, 1 2 3 Genomic insights into the taxonomic status of the Bacillus cereus group Yang Liu 1, Qiliang Lai 1, Markus Göker 2, Jan P. Meier-Kolthoff 2, Meng Wang 3, Yamin Sun 3, Lei Wang 3 and Zongze Shao 1*

More information

Real Estate Price Prediction with Regression and Classification CS 229 Autumn 2016 Project Final Report

Real Estate Price Prediction with Regression and Classification CS 229 Autumn 2016 Project Final Report Real Estate Price Prediction with Regression and Classification CS 229 Autumn 2016 Project Final Report Hujia Yu, Jiafu Wu [hujiay, jiafuwu]@stanford.edu 1. Introduction Housing prices are an important

More information

Supplementary Information

Supplementary Information Supplementary Information Precipitation shapes communities of arbuscular mycorrhizal fungi in Tibetan alpine steppe Jing Zhang 1, Fang Wang 1, Rongxiao Che 1, Ping Wang 2, Hanke Liu 1, Baoming Ji 2* Xiaoyong

More information

THEORY. Based on sequence Length According to the length of sequence being compared it is of following two types

THEORY. Based on sequence Length According to the length of sequence being compared it is of following two types Exp 11- THEORY Sequence Alignment is a process of aligning two sequences to achieve maximum levels of identity between them. This help to derive functional, structural and evolutionary relationships between

More information

Identifying Disinfection Byproducts in Treated Water

Identifying Disinfection Byproducts in Treated Water Identifying Disinfection Byproducts in Treated Water Jonathan D. Byer, LEC Corporation; Saint Joseph, Michigan USA Susan D. Richardson, University of South Carolina; Columbia, South Carolina USA 1. Introduction

More information

A comparison of fully Bayesian and two-stage imputation strategies for missing covariate data

A comparison of fully Bayesian and two-stage imputation strategies for missing covariate data A comparison of fully Bayesian and two-stage imputation strategies for missing covariate data Alexina Mason, Sylvia Richardson and Nicky Best Department of Epidemiology and Biostatistics, Imperial College

More information

Inferring long-term trends in prairie reservoirs (Saskatchewan, Canada) through analysis of DNA in sediment cores

Inferring long-term trends in prairie reservoirs (Saskatchewan, Canada) through analysis of DNA in sediment cores Inferring long-term trends in prairie reservoirs (Saskatchewan, Canada) through analysis of DNA in sediment cores Tse, T. J. a,b, Song, T. a, Hecker, M. a,b, Giesy, J.P. a,b,c, Doig, L. E. a,b, and Jones,

More information

Introduction to Evolutionary Concepts

Introduction to Evolutionary Concepts Introduction to Evolutionary Concepts and VMD/MultiSeq - Part I Zaida (Zan) Luthey-Schulten Dept. Chemistry, Beckman Institute, Biophysics, Institute of Genomics Biology, & Physics NIH Workshop 2009 VMD/MultiSeq

More information

Figure S2: Representative TEM micrographs of the 1wt% Pt/ZSM-5 catalysts used in this work: (a) 2.A; (b) 2.B.

Figure S2: Representative TEM micrographs of the 1wt% Pt/ZSM-5 catalysts used in this work: (a) 2.A; (b) 2.B. Electronic Supplementary Material (ESI) for Catalysis Science & Technology. This journal is The Royal Society of Chemistry 2014 Catal. Sci. Technol. RSCPublishing Cite this: DOI: 10.1039/x0xx00000x Role

More information

Keywords Haloacetic acids, Water analysis, 2-D ion chromatography, ICS-3000

Keywords Haloacetic acids, Water analysis, 2-D ion chromatography, ICS-3000 Evaluation of Various Anion-Exchange Chemistries for the Analysis of Haloacetic Acids in Drinking Water Using -D Matrix Elimination Ion Chromatography and Suppressed Conductivity Detection White Paper

More information

A gas-phase amplified quartz crystal microbalance immunosensor based on catalase modified immunoparticles

A gas-phase amplified quartz crystal microbalance immunosensor based on catalase modified immunoparticles Electronic Supplementary Material (ESI) for Analyst. This journal is The Royal Society of Chemistry 214 Supplementary Information A gas-phase amplified quartz crystal microbalance immunosensor based on

More information

Online Supplementary Material. MetaLP: A Nonparametric Distributed Learning Framework for Small and Big Data

Online Supplementary Material. MetaLP: A Nonparametric Distributed Learning Framework for Small and Big Data Online Supplementary Material MetaLP: A Nonparametric Distributed Learning Framework for Small and Big Data PI : Subhadeep Mukhopadhyay Department of Statistics, Temple University Philadelphia, Pennsylvania,

More information

Supplemental Online Results:

Supplemental Online Results: Supplemental Online Results: Functional, phylogenetic, and computational determinants of prediction accuracy using reference genomes A series of tests determined the relationship between PICRUSt s prediction

More information

ECON Introductory Econometrics. Lecture 13: Internal and external validity

ECON Introductory Econometrics. Lecture 13: Internal and external validity ECON4150 - Introductory Econometrics Lecture 13: Internal and external validity Monique de Haan (moniqued@econ.uio.no) Stock and Watson Chapter 9 Lecture outline 2 Definitions of internal and external

More information

SUPPORTING INFORMATION. Control of the hierarchical assembly of π-conjugated. optoelectronic peptides by ph and flow

SUPPORTING INFORMATION. Control of the hierarchical assembly of π-conjugated. optoelectronic peptides by ph and flow Electronic Supplementary Material (ESI) for Organic & Biomolecular Chemistry. This journal is The Royal Society of Chemistry 2017 SUPPORTING INFORMATION Control of the hierarchical assembly of π-conjugated

More information

Gravity Analysis of Regional Economic Interdependence: In case of Japan

Gravity Analysis of Regional Economic Interdependence: In case of Japan Prepared for the 21 st INFORUM World Conference 26-31 August 2013, Listvyanka, Russia Gravity Analysis of Regional Economic Interdependence: In case of Japan Toshiaki Hasegawa Chuo University Tokyo, JAPAN

More information

Species Level Deconvolution of Metagenome Assemblies with Hi C Based Contact Probability Maps

Species Level Deconvolution of Metagenome Assemblies with Hi C Based Contact Probability Maps Species Level Deconvolution of Metagenome Assemblies with Hi C Based Contact Probability Maps Joshua N. Burton*, Ivan Liachko*, Maitreya J. Dunham, Jay Shendure Department of Genome Sciences, University

More information

Supplementary Information

Supplementary Information Supplementary Information For the article"comparable system-level organization of Archaea and ukaryotes" by J. Podani, Z. N. Oltvai, H. Jeong, B. Tombor, A.-L. Barabási, and. Szathmáry (reference numbers

More information

C HA R AC T E RIZ AT IO N O F INK J E T P RINT E R C A RT RIDG E INK S USING A CHEMOMETRIC APPROACH

C HA R AC T E RIZ AT IO N O F INK J E T P RINT E R C A RT RIDG E INK S USING A CHEMOMETRIC APPROACH C HA R AC T E RIZ AT I N F INK J E T P RINT E R C A RT RIDG E INK S USING A CHEMMETRIC APPRACH Diana Uría and Paul Silcock Waters Corporation, Manchester, UK AIM To evaluate the potential of UPLC -ToF-MS

More information

LDM Package. 1 Overview. Yi-Juan Hu and Glen A. Satten March 19, 2018

LDM Package. 1 Overview. Yi-Juan Hu and Glen A. Satten March 19, 2018 LDM Package Yi-Juan Hu and Glen A. Satten March 19, 2018 1 Overview The LDM package implements the Linear Decomposition Model (Hu and Satten 2018), which provides a single analysis path that includes distance-based

More information

( ( ( ( ( ( ( (! ! 1!

( ( ( ( ( ( ( (! ! 1! ( ( ( ( ( ( ( ( SocialBehaviorandGutMicrobiotainWild Red7belliedLemurs(Eulemur(rubriventer) (In SearchoftheRoleofImmunityintheEvolutionof Sociality( ProGradu AuraRaulo DepartmentofBiosciences DivisionofEcologyandEvolutionaryBiology

More information

Using co-clustering to analyze spatio-temporal patterns: a case study based on spring phenology

Using co-clustering to analyze spatio-temporal patterns: a case study based on spring phenology Using co-clustering to analyze spatio-temporal patterns: a case study based on spring phenology R. Zurita-Milla, X. Wu, M.J. Kraak Faculty of Geo-Information Science and Earth Observation (ITC), University

More information

A phylogenomic toolbox for assembling the tree of life

A phylogenomic toolbox for assembling the tree of life A phylogenomic toolbox for assembling the tree of life or, The Phylota Project (http://www.phylota.org) UC Davis Mike Sanderson Amy Driskell U Pennsylvania Junhyong Kim Iowa State Oliver Eulenstein David

More information

STATISTICAL ANALYSIS OF PYROSEQUENCE DATA KAREN KEATING. B.S., Arkansas State University, 1977 M.A., University of Maryland, 1981

STATISTICAL ANALYSIS OF PYROSEQUENCE DATA KAREN KEATING. B.S., Arkansas State University, 1977 M.A., University of Maryland, 1981 STATISTICAL ANALYSIS OF PYROSEQUENCE DATA by KAREN KEATING B.S., Arkansas State University, 1977 M.A., University of Maryland, 1981 AN ABSTRACT OF A DISSERTATION submitted in partial fulfillment of the

More information

CEE 371 Water and Wastewater Systems

CEE 371 Water and Wastewater Systems Updated: 21 November 2009 CEE 371 Water and Wastewater Systems Print version Lecture #14 Drinking Water Treatment: Chlorination Reading: Chapter 7, pp.233-238, 259-262 David Reckhow CEE 371 L#14 1 Forms

More information

Distance Measures. Objectives: Discuss Distance Measures Illustrate Distance Measures

Distance Measures. Objectives: Discuss Distance Measures Illustrate Distance Measures Distance Measures Objectives: Discuss Distance Measures Illustrate Distance Measures Quantifying Data Similarity Multivariate Analyses Re-map the data from Real World Space to Multi-variate Space Distance

More information

Understanding Chlorine Measurement. Rebecca Luedee Environmental Sales

Understanding Chlorine Measurement. Rebecca Luedee Environmental Sales Understanding Chlorine Measurement Rebecca Luedee Environmental Sales Introduction to Chlorine Reaction with Water Forms hydrochloric (HCl) and hypochlorous (HOCl) acids: Cl 2 + H 2 O HOCl + HCl HOCl dissociates

More information

Genotyping By Sequencing (GBS) Method Overview

Genotyping By Sequencing (GBS) Method Overview enotyping By Sequencing (BS) Method Overview RJ Elshire, JC laubitz, Q Sun, JV Harriman ES Buckler, and SE Mitchell http://wwwmaizegeneticsnet/ Topics Presented Background/oals BS lab protocol Illumina

More information

Electron capture dissociation of extremely supercharged protein. ions formed by electrospray ionisation

Electron capture dissociation of extremely supercharged protein. ions formed by electrospray ionisation Electronic Supplementary Material (ESI) for Analytical Methods. This journal is The Royal Society of Chemistry 2015 Supporting Information for Electron capture dissociation of extremely supercharged protein

More information

A Bayesian Criterion for Clustering Stability

A Bayesian Criterion for Clustering Stability A Bayesian Criterion for Clustering Stability B. Clarke 1 1 Dept of Medicine, CCS, DEPH University of Miami Joint with H. Koepke, Stat. Dept., U Washington 26 June 2012 ISBA Kyoto Outline 1 Assessing Stability

More information

No effect of Bt Cry1Ie toxin on bacterial diversity in the midgut of the Chinese honey bees, Apis cerana cerana (Hymenoptera, Apidae)

No effect of Bt Cry1Ie toxin on bacterial diversity in the midgut of the Chinese honey bees, Apis cerana cerana (Hymenoptera, Apidae) No effect of Bt Cry1Ie toxin on bacterial diversity in the midgut of the Chinese honey bees, Apis cerana cerana (Hymenoptera, Apidae) Hui-Ru Jia 1, 2, Ping-Li Dai 1 *, Li-Li Geng 2, Cameron J. Jack 3,

More information

Censusing the Sea in the 21 st Century

Censusing the Sea in the 21 st Century Censusing the Sea in the 21 st Century Nancy Knowlton & Matthieu Leray Photo: Ove Hoegh-Guldberg Smithsonian s National Museum of Natural History Estimates of Marine/Reef Species Numbers (Millions) Marine

More information

Uranium deposit types: a systems perspective

Uranium deposit types: a systems perspective Uranium deposit types: a systems perspective Roger Skirrow Onshore Energy & Minerals Division roger.skirrow@ga.gov.au Outline 1. A new view of U deposit types: 3 families of mineral systems 2. Concepts

More information

Locating an Astronomy and Astrophysics Publication Set in a Map of the Full Scopus Database

Locating an Astronomy and Astrophysics Publication Set in a Map of the Full Scopus Database Locating an Astronomy and Astrophysics Publication Set in a Map of the Full Scopus Database Kevin W. Boyack 1 1 kboyack@mapofscience.com SciTech Strategies, Inc., 8421 Manuel Cia Pl NE, Albuquerque, NM

More information

A Prior Distribution of Bayesian Nonparametrics Incorporating Multiple Distances

A Prior Distribution of Bayesian Nonparametrics Incorporating Multiple Distances A Prior Distribution of Bayesian Nonparametrics Incorporating Multiple Distances Brian M. Hartman 1 David B. Dahl 1 Debabrata Talukdar 2 Bani K. Mallick 1 1 Department of Statistics Texas A&M University

More information

Supplementary Information

Supplementary Information Supplementary Information Altitudinal patterns of diversity and functional traits of metabolically active microorganisms in stream biofilms Linda Wilhelm 1, Katharina Besemer 2, Lena Fragner 3, Hannes

More information

Regression Analysis. Regression: Methodology for studying the relationship among two or more variables

Regression Analysis. Regression: Methodology for studying the relationship among two or more variables Regression Analysis Regression: Methodology for studying the relationship among two or more variables Two major aims: Determine an appropriate model for the relationship between the variables Predict the

More information

BIO 682 Multivariate Statistics Spring 2008

BIO 682 Multivariate Statistics Spring 2008 BIO 682 Multivariate Statistics Spring 2008 Steve Shuster http://www4.nau.edu/shustercourses/bio682/index.htm Lecture 11 Properties of Community Data Gauch 1982, Causton 1988, Jongman 1995 a. Qualitative:

More information

UNIVERSITY OF OTAGO EXAMINATIONS 2008

UNIVERSITY OF OTAGO EXAMINATIONS 2008 UNIVERSITY OF OTAGO EXAMINATIONS 2008 STATISTICS Paper STAT 242/342 Multivariate Methods (TIME ALLOWED: THREE HOURS) This examination paper comprises 25 pages. Candidates should answer questions as follows:

More information

PROJECT 3A. WATER DISINFECTION

PROJECT 3A. WATER DISINFECTION PROJECT 3A. WATER DISINFECTION 1 1. Disinfection Review Basic concepts - Disinfection: selective kill of disease-causing organisms Sterilization: kill of all organisms disinfection sterilization - Common

More information

Soil fungal diversity follows plant diversity across the alpine grassland ecosystems of the Tibetan Plateau

Soil fungal diversity follows plant diversity across the alpine grassland ecosystems of the Tibetan Plateau LOGO Soil fungal diversity follows plant diversity across the alpine grassland ecosystems of the Tibetan Plateau Jonathan ADAMS Ex-Cranfield University, soon to be based in China! With CHU Haiyan, YANG

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION doi:10.1038/nature25973 Power Simulations We performed extensive power simulations to demonstrate that the analyses carried out in our study are well powered. Our simulations indicate very high power for

More information

1 Electronic Supporting Information. 2 The transformation and fate of silver nanoparticles in a paddy soil:

1 Electronic Supporting Information. 2 The transformation and fate of silver nanoparticles in a paddy soil: Electronic Supplementary Material (ESI) for Environmental Science: Nano. This journal is The Royal Society of Chemistry 2017 1 Electronic Supporting Information 2 The transformation and fate of silver

More information

Supporting Information

Supporting Information Electronic Supplementary Material (ESI) for Journal of Materials Chemistry A. This journal is The Royal Society of Chemistry 2017 Supporting Information Sb 2 O 3 /MXene(Ti 3 C 2 T x ) hybrid anode materials

More information

Rarefaction Example. Consider this dataset: Original matrix:

Rarefaction Example. Consider this dataset: Original matrix: Rarefaction Example Conider thi dataet: Where i diverity highet? S 4 6 6 6 Shannon 1.0375911 0.9176461 0.9908044 1.0397044 What about rarefied diverity? rarefy(community,ample=10) 3.175905 2.576947 2.889674

More information

Key Words Q Exactive, Accela, MetQuest, Mass Frontier, Drug Discovery

Key Words Q Exactive, Accela, MetQuest, Mass Frontier, Drug Discovery Metabolite Stability Screening and Hotspot Metabolite Identification by Combining High-Resolution, Accurate-Mass Nonselective and Selective Fragmentation Tim Stratton, Caroline Ding, Yingying Huang, Dan

More information

Molecular Characterization and Proposed Taxonomic Placement of the Biosimulant 'BG'

Molecular Characterization and Proposed Taxonomic Placement of the Biosimulant 'BG' Molecular Characterization and Proposed Taxonomic Placement of the Biosimulant 'BG' S.A. Burke 1, J.W. Wright 2, M.K. Robinson, B. Bronk 3, and R.L. Warren 1 1 Battelle Dugway Operations 2 U.S. Army Soldier

More information

Electronic Supplementary Information

Electronic Supplementary Information Electronic Supplementary Material (ESI) for CrystEngComm. This journal is The Royal Society of Chemistry 2014 Electronic Supplementary Information Reaction Controlled Assemblies and Structural Diversities

More information