Cargando…

MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome

Summary: Microbiome researchers frequently want to know how abundant a particular microbial gene or pathway is across different human hosts, including its association with disease and its co-occurrence with other genes or microbial taxa. With thousands of publicly available metagenomes, these questi...

Descripción completa

Detalles Bibliográficos
Autores principales: Nayfach, Stephen, Fischbach, Michael A., Pollard, Katherine S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595903/
https://www.ncbi.nlm.nih.gov/pubmed/26104745
http://dx.doi.org/10.1093/bioinformatics/btv382
_version_ 1782393692972122112
author Nayfach, Stephen
Fischbach, Michael A.
Pollard, Katherine S.
author_facet Nayfach, Stephen
Fischbach, Michael A.
Pollard, Katherine S.
author_sort Nayfach, Stephen
collection PubMed
description Summary: Microbiome researchers frequently want to know how abundant a particular microbial gene or pathway is across different human hosts, including its association with disease and its co-occurrence with other genes or microbial taxa. With thousands of publicly available metagenomes, these questions should be easy to answer. However, computational barriers prevent most researchers from conducting such analyses. We address this problem with MetaQuery, a web application for rapid and quantitative analysis of specific genes in the human gut microbiome. The user inputs one or more query genes, and our software returns the estimated abundance of these genes across 1267 publicly available fecal metagenomes from American, European and Chinese individuals. In addition, our application performs downstream statistical analyses to identify features that are associated with gene variation, including other query genes (i.e. gene co-variation), taxa, clinical variables (e.g. inflammatory bowel disease and diabetes) and average genome size. The speed and accessibility of MetaQuery are a step toward democratizing metagenomics research, which should allow many researchers to query the abundance and variation of specific genes in the human gut microbiome. Availability and implementation: http://metaquery.docpollard.org. Contact: snayfach@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
format Online
Article
Text
id pubmed-4595903
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-45959032015-10-09 MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome Nayfach, Stephen Fischbach, Michael A. Pollard, Katherine S. Bioinformatics Applications Notes Summary: Microbiome researchers frequently want to know how abundant a particular microbial gene or pathway is across different human hosts, including its association with disease and its co-occurrence with other genes or microbial taxa. With thousands of publicly available metagenomes, these questions should be easy to answer. However, computational barriers prevent most researchers from conducting such analyses. We address this problem with MetaQuery, a web application for rapid and quantitative analysis of specific genes in the human gut microbiome. The user inputs one or more query genes, and our software returns the estimated abundance of these genes across 1267 publicly available fecal metagenomes from American, European and Chinese individuals. In addition, our application performs downstream statistical analyses to identify features that are associated with gene variation, including other query genes (i.e. gene co-variation), taxa, clinical variables (e.g. inflammatory bowel disease and diabetes) and average genome size. The speed and accessibility of MetaQuery are a step toward democratizing metagenomics research, which should allow many researchers to query the abundance and variation of specific genes in the human gut microbiome. Availability and implementation: http://metaquery.docpollard.org. Contact: snayfach@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-10-15 2015-06-22 /pmc/articles/PMC4595903/ /pubmed/26104745 http://dx.doi.org/10.1093/bioinformatics/btv382 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Nayfach, Stephen
Fischbach, Michael A.
Pollard, Katherine S.
MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title_full MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title_fullStr MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title_full_unstemmed MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title_short MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
title_sort metaquery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595903/
https://www.ncbi.nlm.nih.gov/pubmed/26104745
http://dx.doi.org/10.1093/bioinformatics/btv382
work_keys_str_mv AT nayfachstephen metaqueryawebserverforrapidannotationandquantitativeanalysisofspecificgenesinthehumangutmicrobiome
AT fischbachmichaela metaqueryawebserverforrapidannotationandquantitativeanalysisofspecificgenesinthehumangutmicrobiome
AT pollardkatherines metaqueryawebserverforrapidannotationandquantitativeanalysisofspecificgenesinthehumangutmicrobiome