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RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does no...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394330/ https://www.ncbi.nlm.nih.gov/pubmed/22684630 http://dx.doi.org/10.1093/nar/gks540 |
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author | Lohse, Marc Bolger, Anthony M. Nagel, Axel Fernie, Alisdair R. Lunn, John E. Stitt, Mark Usadel, Björn |
author_facet | Lohse, Marc Bolger, Anthony M. Nagel, Axel Fernie, Alisdair R. Lunn, John E. Stitt, Mark Usadel, Björn |
author_sort | Lohse, Marc |
collection | PubMed |
description | Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does not require a predefined measuring platform (like e.g. microarrays). However, these novel technologies pose new challenges: the raw data need to be rigorously quality checked and filtered prior to analysis, and proper statistical methods have to be applied to extract biologically relevant information. Given the sheer volume of data, this is no trivial task and requires a combination of considerable technical resources along with bioinformatics expertise. To aid the individual researcher, we have developed RobiNA as an integrated solution that consolidates all steps of RNA-Seq-based differential gene-expression analysis in one user-friendly cross-platform application featuring a rich graphical user interface. RobiNA accepts raw FastQ files, SAM/BAM alignment files and counts tables as input. It supports quality checking, flexible filtering and statistical analysis of differential gene expression based on state-of-the art biostatistical methods developed in the R/Bioconductor projects. In-line help and a step-by-step manual guide users through the analysis. Installer packages for Mac OS X, Windows and Linux are available under the LGPL licence from http://mapman.gabipd.org/web/guest/robin. |
format | Online Article Text |
id | pubmed-3394330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33943302012-07-30 RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics Lohse, Marc Bolger, Anthony M. Nagel, Axel Fernie, Alisdair R. Lunn, John E. Stitt, Mark Usadel, Björn Nucleic Acids Res Stand Alone Programs Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide researchers with unprecedentedly large data sets and open new perspectives in transcriptomics. Furthermore, RNA-Seq-based transcript profiling can be applied to non-model and newly discovered organisms because it does not require a predefined measuring platform (like e.g. microarrays). However, these novel technologies pose new challenges: the raw data need to be rigorously quality checked and filtered prior to analysis, and proper statistical methods have to be applied to extract biologically relevant information. Given the sheer volume of data, this is no trivial task and requires a combination of considerable technical resources along with bioinformatics expertise. To aid the individual researcher, we have developed RobiNA as an integrated solution that consolidates all steps of RNA-Seq-based differential gene-expression analysis in one user-friendly cross-platform application featuring a rich graphical user interface. RobiNA accepts raw FastQ files, SAM/BAM alignment files and counts tables as input. It supports quality checking, flexible filtering and statistical analysis of differential gene expression based on state-of-the art biostatistical methods developed in the R/Bioconductor projects. In-line help and a step-by-step manual guide users through the analysis. Installer packages for Mac OS X, Windows and Linux are available under the LGPL licence from http://mapman.gabipd.org/web/guest/robin. Oxford University Press 2012-07 2012-06-08 /pmc/articles/PMC3394330/ /pubmed/22684630 http://dx.doi.org/10.1093/nar/gks540 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Stand Alone Programs Lohse, Marc Bolger, Anthony M. Nagel, Axel Fernie, Alisdair R. Lunn, John E. Stitt, Mark Usadel, Björn RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title | RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title_full | RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title_fullStr | RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title_full_unstemmed | RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title_short | RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics |
title_sort | robina: a user-friendly, integrated software solution for rna-seq-based transcriptomics |
topic | Stand Alone Programs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394330/ https://www.ncbi.nlm.nih.gov/pubmed/22684630 http://dx.doi.org/10.1093/nar/gks540 |
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