Cargando…
Web Resources for Metagenomics Studies
The development of next-generation sequencing (NGS) platforms spawned an enormous volume of data. This explosion in data has unearthed new scalability challenges for existing bioinformatics tools. The analysis of metagenomic sequences using bioinformatics pipelines is complicated by the substantial...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678780/ https://www.ncbi.nlm.nih.gov/pubmed/26602607 http://dx.doi.org/10.1016/j.gpb.2015.10.003 |
_version_ | 1782405502520524800 |
---|---|
author | Dudhagara, Pravin Bhavsar, Sunil Bhagat, Chintan Ghelani, Anjana Bhatt, Shreyas Patel, Rajesh |
author_facet | Dudhagara, Pravin Bhavsar, Sunil Bhagat, Chintan Ghelani, Anjana Bhatt, Shreyas Patel, Rajesh |
author_sort | Dudhagara, Pravin |
collection | PubMed |
description | The development of next-generation sequencing (NGS) platforms spawned an enormous volume of data. This explosion in data has unearthed new scalability challenges for existing bioinformatics tools. The analysis of metagenomic sequences using bioinformatics pipelines is complicated by the substantial complexity of these data. In this article, we review several commonly-used online tools for metagenomics data analysis with respect to their quality and detail of analysis using simulated metagenomics data. There are at least a dozen such software tools presently available in the public domain. Among them, MGRAST, IMG/M, and METAVIR are the most well-known tools according to the number of citations by peer-reviewed scientific media up to mid-2015. Here, we describe 12 online tools with respect to their web link, annotation pipelines, clustering methods, online user support, and availability of data storage. We have also done the rating for each tool to screen more potential and preferential tools and evaluated five best tools using synthetic metagenome. The article comprehensively deals with the contemporary problems and the prospects of metagenomics from a bioinformatics viewpoint. |
format | Online Article Text |
id | pubmed-4678780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-46787802016-01-06 Web Resources for Metagenomics Studies Dudhagara, Pravin Bhavsar, Sunil Bhagat, Chintan Ghelani, Anjana Bhatt, Shreyas Patel, Rajesh Genomics Proteomics Bioinformatics Resource Review The development of next-generation sequencing (NGS) platforms spawned an enormous volume of data. This explosion in data has unearthed new scalability challenges for existing bioinformatics tools. The analysis of metagenomic sequences using bioinformatics pipelines is complicated by the substantial complexity of these data. In this article, we review several commonly-used online tools for metagenomics data analysis with respect to their quality and detail of analysis using simulated metagenomics data. There are at least a dozen such software tools presently available in the public domain. Among them, MGRAST, IMG/M, and METAVIR are the most well-known tools according to the number of citations by peer-reviewed scientific media up to mid-2015. Here, we describe 12 online tools with respect to their web link, annotation pipelines, clustering methods, online user support, and availability of data storage. We have also done the rating for each tool to screen more potential and preferential tools and evaluated five best tools using synthetic metagenome. The article comprehensively deals with the contemporary problems and the prospects of metagenomics from a bioinformatics viewpoint. Elsevier 2015-10 2015-11-18 /pmc/articles/PMC4678780/ /pubmed/26602607 http://dx.doi.org/10.1016/j.gpb.2015.10.003 Text en © 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resource Review Dudhagara, Pravin Bhavsar, Sunil Bhagat, Chintan Ghelani, Anjana Bhatt, Shreyas Patel, Rajesh Web Resources for Metagenomics Studies |
title | Web Resources for Metagenomics Studies |
title_full | Web Resources for Metagenomics Studies |
title_fullStr | Web Resources for Metagenomics Studies |
title_full_unstemmed | Web Resources for Metagenomics Studies |
title_short | Web Resources for Metagenomics Studies |
title_sort | web resources for metagenomics studies |
topic | Resource Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678780/ https://www.ncbi.nlm.nih.gov/pubmed/26602607 http://dx.doi.org/10.1016/j.gpb.2015.10.003 |
work_keys_str_mv | AT dudhagarapravin webresourcesformetagenomicsstudies AT bhavsarsunil webresourcesformetagenomicsstudies AT bhagatchintan webresourcesformetagenomicsstudies AT ghelanianjana webresourcesformetagenomicsstudies AT bhattshreyas webresourcesformetagenomicsstudies AT patelrajesh webresourcesformetagenomicsstudies |