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MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes

The microbiota colonized on human body is renowned as “a forgotten organ” due to its big impacts on human health and disease. Recently, microbiome studies have identified a large number of microbes differentially regulated in a variety of conditions, such as disease and diet. However, methods for di...

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Detalles Bibliográficos
Autores principales: Ma, Wei, Huang, Chuanbo, Zhou, Yuan, Li, Jianwei, Cui, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223220/
https://www.ncbi.nlm.nih.gov/pubmed/28071710
http://dx.doi.org/10.1038/srep40200
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author Ma, Wei
Huang, Chuanbo
Zhou, Yuan
Li, Jianwei
Cui, Qinghua
author_facet Ma, Wei
Huang, Chuanbo
Zhou, Yuan
Li, Jianwei
Cui, Qinghua
author_sort Ma, Wei
collection PubMed
description The microbiota colonized on human body is renowned as “a forgotten organ” due to its big impacts on human health and disease. Recently, microbiome studies have identified a large number of microbes differentially regulated in a variety of conditions, such as disease and diet. However, methods for discovering biological patterns in the differentially regulated microbes are still limited. For this purpose, here, we developed a web-based tool named MicroPattern to discover biological patterns for a list of microbes. In addition, MicroPattern implemented and integrated an algorithm we previously presented for the calculation of disease similarity based on disease-microbe association data. MicroPattern first grouped microbes into different sets based on the associated diseases and the colonized positions. Then, for a given list of microbes, MicroPattern performed enrichment analysis of the given microbes on all of the microbe sets. Moreover, using MicroPattern, we can also calculate disease similarity based on the shared microbe associations. Finally, we confirmed the accuracy and usefulness of MicroPattern by applying it to the changed microbes under the animal-based diet condition. MicroPattern is freely available at http://www.cuilab.cn/micropattern.
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spelling pubmed-52232202017-01-17 MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes Ma, Wei Huang, Chuanbo Zhou, Yuan Li, Jianwei Cui, Qinghua Sci Rep Article The microbiota colonized on human body is renowned as “a forgotten organ” due to its big impacts on human health and disease. Recently, microbiome studies have identified a large number of microbes differentially regulated in a variety of conditions, such as disease and diet. However, methods for discovering biological patterns in the differentially regulated microbes are still limited. For this purpose, here, we developed a web-based tool named MicroPattern to discover biological patterns for a list of microbes. In addition, MicroPattern implemented and integrated an algorithm we previously presented for the calculation of disease similarity based on disease-microbe association data. MicroPattern first grouped microbes into different sets based on the associated diseases and the colonized positions. Then, for a given list of microbes, MicroPattern performed enrichment analysis of the given microbes on all of the microbe sets. Moreover, using MicroPattern, we can also calculate disease similarity based on the shared microbe associations. Finally, we confirmed the accuracy and usefulness of MicroPattern by applying it to the changed microbes under the animal-based diet condition. MicroPattern is freely available at http://www.cuilab.cn/micropattern. Nature Publishing Group 2017-01-10 /pmc/articles/PMC5223220/ /pubmed/28071710 http://dx.doi.org/10.1038/srep40200 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ma, Wei
Huang, Chuanbo
Zhou, Yuan
Li, Jianwei
Cui, Qinghua
MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title_full MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title_fullStr MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title_full_unstemmed MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title_short MicroPattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
title_sort micropattern: a web-based tool for microbe set enrichment analysis and disease similarity calculation based on a list of microbes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223220/
https://www.ncbi.nlm.nih.gov/pubmed/28071710
http://dx.doi.org/10.1038/srep40200
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