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American Journal of Epidemiology
Article . 2019 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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https://doi.org/10.1101/299115...
Article . 2018 . Peer-reviewed
Data sources: Crossref
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HMP16SData: Efficient Access to the Human Microbiome Project through Bioconductor

Authors: Ludwig Geistlinger; Lucas Schiffer; Lori Shepherd; Nicola Segata; Rimsha Azhar; Marcel Ramos; Marcel Ramos; +5 Authors

HMP16SData: Efficient Access to the Human Microbiome Project through Bioconductor

Abstract

AbstractPhase 1 of the NIH Human Microbiome Project (HMP) investigated 18 body subsites of 239 healthy American adults, to produce the first comprehensive reference for the composition and variation of the “healthy” human microbiome. Publicly-available data sets from amplicon sequencing of two 16S rRNA variable regions, with extensive controlled-access participant data, provide a reference for ongoing microbiome studies. However, utilization of these data sets can be hindered by the complex bioinformatic steps required to access, import, decrypt, and merge the various components in formats suitable for ecological and statistical analysis. The HMP16SData package provides count data for both 16S variable regions, integrated with phylogeny, taxonomy, public participant data, and controlled participant data for authorized researchers, using standard integrative Bioconductor data objects. By removing bioinformatic hurdles of data access and management, HMP16SData enables epidemiologists with only basic R skills to quickly analyze HMP data.

Keywords

Adult, Male, Young Adult, Adolescent, Microbiota, RNA, Ribosomal, 16S, Databases, Genetic, Computational Biology, Humans, Female, Bioconductor; Bioinformatics; Databases; Human Microbiome Project; Metagenomics; Microbiome; Statistical Software

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
Green
hybrid