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A review of software for analyzing molecular sequences
BACKGROUND: Over the past ten years, there has been an explosion of microbiome research. Many software packages for analyzing microbial sequences such as the 16S gene from 454 sequencers and Illumina platforms are available. But for a new researcher, it is difficult to know which package to choose....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258797/ https://www.ncbi.nlm.nih.gov/pubmed/25421430 http://dx.doi.org/10.1186/1756-0500-7-830 |
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author | Nilakanta, Haema Drews, Kimberly L Firrell, Suzanne Foulkes, Mary A Jablonski, Kathleen A |
author_facet | Nilakanta, Haema Drews, Kimberly L Firrell, Suzanne Foulkes, Mary A Jablonski, Kathleen A |
author_sort | Nilakanta, Haema |
collection | PubMed |
description | BACKGROUND: Over the past ten years, there has been an explosion of microbiome research. Many software packages for analyzing microbial sequences such as the 16S gene from 454 sequencers and Illumina platforms are available. But for a new researcher, it is difficult to know which package to choose. We present a systematic review of packages for the analysis of molecular sequences used to describe and compare microbial communities. This review gives students and researchers information to help choose the best analytic pipeline for their project. To the best of our knowledge, this is the first review of such software. FINDINGS: Seven software packages met our inclusion criteria of being cost free and publically available, offering analysis functions from platform sequencing to results presentation, and included documentation and data security. We installed and executed each of the software packages and describe the installation, documentation, features, and functions of each. CONCLUSIONS: For the user, pipeline choices may be limited because some packages only run on select operating systems. Users should be aware of the availability of features and functions of each package. Of utmost importance is that the user must be aware of the default settings and underlying assumptions of each function. All packages are lacking sufficient methods for longitudinal analysis. Researchers can do well using any one of these seven packages. However, two packages are outstanding; mothur and QIIME, due not only to the comprehensive suite of functions and procedures incorporated into the pipelines but also because of the accompanying documentation. |
format | Online Article Text |
id | pubmed-4258797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42587972014-12-09 A review of software for analyzing molecular sequences Nilakanta, Haema Drews, Kimberly L Firrell, Suzanne Foulkes, Mary A Jablonski, Kathleen A BMC Res Notes Short Report BACKGROUND: Over the past ten years, there has been an explosion of microbiome research. Many software packages for analyzing microbial sequences such as the 16S gene from 454 sequencers and Illumina platforms are available. But for a new researcher, it is difficult to know which package to choose. We present a systematic review of packages for the analysis of molecular sequences used to describe and compare microbial communities. This review gives students and researchers information to help choose the best analytic pipeline for their project. To the best of our knowledge, this is the first review of such software. FINDINGS: Seven software packages met our inclusion criteria of being cost free and publically available, offering analysis functions from platform sequencing to results presentation, and included documentation and data security. We installed and executed each of the software packages and describe the installation, documentation, features, and functions of each. CONCLUSIONS: For the user, pipeline choices may be limited because some packages only run on select operating systems. Users should be aware of the availability of features and functions of each package. Of utmost importance is that the user must be aware of the default settings and underlying assumptions of each function. All packages are lacking sufficient methods for longitudinal analysis. Researchers can do well using any one of these seven packages. However, two packages are outstanding; mothur and QIIME, due not only to the comprehensive suite of functions and procedures incorporated into the pipelines but also because of the accompanying documentation. BioMed Central 2014-11-24 /pmc/articles/PMC4258797/ /pubmed/25421430 http://dx.doi.org/10.1186/1756-0500-7-830 Text en © Nilakanta et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Nilakanta, Haema Drews, Kimberly L Firrell, Suzanne Foulkes, Mary A Jablonski, Kathleen A A review of software for analyzing molecular sequences |
title | A review of software for analyzing molecular sequences |
title_full | A review of software for analyzing molecular sequences |
title_fullStr | A review of software for analyzing molecular sequences |
title_full_unstemmed | A review of software for analyzing molecular sequences |
title_short | A review of software for analyzing molecular sequences |
title_sort | review of software for analyzing molecular sequences |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258797/ https://www.ncbi.nlm.nih.gov/pubmed/25421430 http://dx.doi.org/10.1186/1756-0500-7-830 |
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