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A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data
The microbiome can be defined as the community of microorganisms that live in a particular environment. Metagenomics is the practice of sequencing DNA from the genomes of all organisms present in a particular sample, and has become a common method for the study of microbiome population structure and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337752/ https://www.ncbi.nlm.nih.gov/pubmed/28321234 http://dx.doi.org/10.3389/fgene.2017.00023 |
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author | Roumpeka, Despoina D. Wallace, R. John Escalettes, Frank Fotheringham, Ian Watson, Mick |
author_facet | Roumpeka, Despoina D. Wallace, R. John Escalettes, Frank Fotheringham, Ian Watson, Mick |
author_sort | Roumpeka, Despoina D. |
collection | PubMed |
description | The microbiome can be defined as the community of microorganisms that live in a particular environment. Metagenomics is the practice of sequencing DNA from the genomes of all organisms present in a particular sample, and has become a common method for the study of microbiome population structure and function. Increasingly, researchers are finding novel genes encoded within metagenomes, many of which may be of interest to the biotechnology and pharmaceutical industries. However, such “bioprospecting” requires a suite of sophisticated bioinformatics tools to make sense of the data. This review summarizes the most commonly used bioinformatics tools for the assembly and annotation of metagenomic sequence data with the aim of discovering novel genes. |
format | Online Article Text |
id | pubmed-5337752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53377522017-03-20 A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data Roumpeka, Despoina D. Wallace, R. John Escalettes, Frank Fotheringham, Ian Watson, Mick Front Genet Genetics The microbiome can be defined as the community of microorganisms that live in a particular environment. Metagenomics is the practice of sequencing DNA from the genomes of all organisms present in a particular sample, and has become a common method for the study of microbiome population structure and function. Increasingly, researchers are finding novel genes encoded within metagenomes, many of which may be of interest to the biotechnology and pharmaceutical industries. However, such “bioprospecting” requires a suite of sophisticated bioinformatics tools to make sense of the data. This review summarizes the most commonly used bioinformatics tools for the assembly and annotation of metagenomic sequence data with the aim of discovering novel genes. Frontiers Media S.A. 2017-03-06 /pmc/articles/PMC5337752/ /pubmed/28321234 http://dx.doi.org/10.3389/fgene.2017.00023 Text en Copyright © 2017 Roumpeka, Wallace, Escalettes, Fotheringham and Watson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Roumpeka, Despoina D. Wallace, R. John Escalettes, Frank Fotheringham, Ian Watson, Mick A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title | A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title_full | A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title_fullStr | A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title_full_unstemmed | A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title_short | A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data |
title_sort | review of bioinformatics tools for bio-prospecting from metagenomic sequence data |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337752/ https://www.ncbi.nlm.nih.gov/pubmed/28321234 http://dx.doi.org/10.3389/fgene.2017.00023 |
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