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TOGGLE: toolbox for generic NGS analyses

BACKGROUND: The explosion of NGS (Next Generation Sequencing) sequence data requires a huge effort in Bioinformatics methods and analyses. The creation of dedicated, robust and reliable pipelines able to handle dozens of samples from raw FASTQ data to relevant biological data is a time-consuming tas...

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Autores principales: Monat, Cécile, Tranchant-Dubreuil, Christine, Kougbeadjo, Ayité, Farcy, Cédric, Ortega-Abboud, Enrique, Amanzougarene, Souhila, Ravel, Sébastien, Agbessi, Mawussé, Orjuela-Bouniol, Julie, Summo, Maryline, Sabot, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640241/
https://www.ncbi.nlm.nih.gov/pubmed/26552596
http://dx.doi.org/10.1186/s12859-015-0795-6
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author Monat, Cécile
Tranchant-Dubreuil, Christine
Kougbeadjo, Ayité
Farcy, Cédric
Ortega-Abboud, Enrique
Amanzougarene, Souhila
Ravel, Sébastien
Agbessi, Mawussé
Orjuela-Bouniol, Julie
Summo, Maryline
Sabot, François
author_facet Monat, Cécile
Tranchant-Dubreuil, Christine
Kougbeadjo, Ayité
Farcy, Cédric
Ortega-Abboud, Enrique
Amanzougarene, Souhila
Ravel, Sébastien
Agbessi, Mawussé
Orjuela-Bouniol, Julie
Summo, Maryline
Sabot, François
author_sort Monat, Cécile
collection PubMed
description BACKGROUND: The explosion of NGS (Next Generation Sequencing) sequence data requires a huge effort in Bioinformatics methods and analyses. The creation of dedicated, robust and reliable pipelines able to handle dozens of samples from raw FASTQ data to relevant biological data is a time-consuming task in all projects relying on NGS. To address this, we created a generic and modular toolbox for developing such pipelines. RESULTS: TOGGLE (TOolbox for Generic nGs anaLysEs) is a suite of tools able to design pipelines that manage large sets of NGS softwares and utilities. Moreover, TOGGLE offers an easy way to manipulate the various options of the different softwares through the pipelines in using a single basic configuration file, which can be changed for each assay without having to change the code itself. We also describe one implementation of TOGGLE in a complete analysis pipeline designed for SNP discovery for large sets of genomic data, ready to use in different environments (from a single machine to HPC clusters). CONCLUSION: TOGGLE speeds up the creation of robust pipelines with reliable log tracking and data flow, for a large range of analyses. Moreover, it enables Biologists to concentrate on the biological relevance of results, and change the experimental conditions easily. The whole code and test data are available at https://github.com/SouthGreenPlatform/TOGGLE. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0795-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-46402412015-11-11 TOGGLE: toolbox for generic NGS analyses Monat, Cécile Tranchant-Dubreuil, Christine Kougbeadjo, Ayité Farcy, Cédric Ortega-Abboud, Enrique Amanzougarene, Souhila Ravel, Sébastien Agbessi, Mawussé Orjuela-Bouniol, Julie Summo, Maryline Sabot, François BMC Bioinformatics Software BACKGROUND: The explosion of NGS (Next Generation Sequencing) sequence data requires a huge effort in Bioinformatics methods and analyses. The creation of dedicated, robust and reliable pipelines able to handle dozens of samples from raw FASTQ data to relevant biological data is a time-consuming task in all projects relying on NGS. To address this, we created a generic and modular toolbox for developing such pipelines. RESULTS: TOGGLE (TOolbox for Generic nGs anaLysEs) is a suite of tools able to design pipelines that manage large sets of NGS softwares and utilities. Moreover, TOGGLE offers an easy way to manipulate the various options of the different softwares through the pipelines in using a single basic configuration file, which can be changed for each assay without having to change the code itself. We also describe one implementation of TOGGLE in a complete analysis pipeline designed for SNP discovery for large sets of genomic data, ready to use in different environments (from a single machine to HPC clusters). CONCLUSION: TOGGLE speeds up the creation of robust pipelines with reliable log tracking and data flow, for a large range of analyses. Moreover, it enables Biologists to concentrate on the biological relevance of results, and change the experimental conditions easily. The whole code and test data are available at https://github.com/SouthGreenPlatform/TOGGLE. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0795-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-09 /pmc/articles/PMC4640241/ /pubmed/26552596 http://dx.doi.org/10.1186/s12859-015-0795-6 Text en © Monat et al.; licensee BioMed Central. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Software
Monat, Cécile
Tranchant-Dubreuil, Christine
Kougbeadjo, Ayité
Farcy, Cédric
Ortega-Abboud, Enrique
Amanzougarene, Souhila
Ravel, Sébastien
Agbessi, Mawussé
Orjuela-Bouniol, Julie
Summo, Maryline
Sabot, François
TOGGLE: toolbox for generic NGS analyses
title TOGGLE: toolbox for generic NGS analyses
title_full TOGGLE: toolbox for generic NGS analyses
title_fullStr TOGGLE: toolbox for generic NGS analyses
title_full_unstemmed TOGGLE: toolbox for generic NGS analyses
title_short TOGGLE: toolbox for generic NGS analyses
title_sort toggle: toolbox for generic ngs analyses
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640241/
https://www.ncbi.nlm.nih.gov/pubmed/26552596
http://dx.doi.org/10.1186/s12859-015-0795-6
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