Evidence map›Paper›PMID 22719831›Full record

ArticlePloS one2012

Optimizing read mapping to reference genomes to determine composition and species prevalence in microbial communities.

John Martin, Sean Sykes, Sarah Young, Karthik Kota, Ravi Sanka, Nihar Sheth, Joshua Orvis, Erica Sodergren, Zhengyuan Wang, George M Weinstock and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
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  4. Observational
  5. Article
  6. Article
  7. An Introduction to Whole-Metagenome Shotgun Sequencing Studies.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
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  20. Live genomics for pathogen monitoring in public health.Pathogens (Basel, Switzerland) · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

John MartinThe Genome Institute, Washington University School of Medicine, St Louis, Missouri, United States of America.
Sean Sykes
Sarah Young
Karthik Kota
Ravi Sanka
Nihar Sheth
Joshua Orvis
Erica Sodergren
Zhengyuan Wang
George M Weinstock
Makedonka Mitreva
Washington University in St. Louis · USBroad Institute · USJ. Craig Venter Institute · USUniversity of Maryland, Baltimore · USVirginia Commonwealth University · US

Funding

Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
Sequencing the Human MicrobiomeU54HG004968 · NHGRI · WASHINGTON UNIVERSITY · PI WILSON, RICHARD K. · 2009 to 2012
$16.7M
Construction Of A Reference Sequence Data Set For The Human Microbiome ProjectU54AI084844 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI NELSON, KAREN E. · 2009 to 2012
$10.3M
Defining the Human MicrobiomeU54HG004969 · NHGRI · BROAD INSTITUTE, INC. · PI BIRREN, BRUCE W. · 2009 to 2012
$10.3M
The Vaginal Microbiome: Disease, Genetics and the EnvironmentUH3AI083263 · NIAID · VIRGINIA COMMONWEALTH UNIVERSITY · PI BUCK, GREGORY ALLEN · 2010 to 2012
$6.8M
NHGRI NIH HHS U54 HG003079NHGRI NIH HHS U54 HG004968NHGRI NIH HHS U54HG004968NHGRI NIH HHS U54 HG004969NHGRI NIH HHS U54HG004969NIAID NIH HHS U54 AI084844NIAID NIH HHS U54AI084844NIAID NIH HHS UH3 AI083263PHS HHS NIH-NHGRI U54HG003079PHS HHS NIH-NIAID UH3AI083263
6 · The paper itself

Abstract

The Human Microbiome Project (HMP) aims to characterize the microbial communities of 18 body sites from healthy individuals. To accomplish this, the HMP generated two types of shotgun data: reference shotgun sequences isolated from different anatomical sites on the human body and shotgun metagenomic sequences from the microbial communities of each site. The alignment strategy for characterizing these metagenomic communities using available reference sequence is important to the success of HMP data analysis. Six next-generation aligners were used to align a community of known composition against a database comprising reference organisms known to be present in that community. All aligners report nearly complete genome coverage (>97%) for strains with over 6X depth of coverage, however they differ in speed, memory requirement and ease of use issues such as database size limitations and supported mapping strategies. The selected aligner was tested across a range of parameters to maximize sensitivity while maintaining a low false positive rate. We found that constraining alignment length had more impact on sensitivity than does constraining similarity in all cases tested. However, when reference species were replaced with phylogenetic neighbors, similarity begins to play a larger role in detection. We also show that choosing the top hit randomly when multiple, equally strong mappings are available increases overall sensitivity at the expense of taxonomic resolution. The results of this study identified a strategy that was used to map over 3 tera-bases of microbial sequence against a database of more than 5,000 reference genomes in just over a month.

Indexed as

MetagenomeMetagenomicsBiodiversityDatabases, FactualHumansPhylogeny

Identifiers

PMID22719831
PMCPMC3374613
OpenAlexW1969882260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.