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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...

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Autores principales: Roumpeka, Despoina D., Wallace, R. John, Escalettes, Frank, Fotheringham, Ian, Watson, Mick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
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.
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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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