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...
Autores principales: | , , |
---|---|
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 |