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rnaSeqMap: a Bioconductor package for RNA sequencing data exploration

BACKGROUND: The throughput of commercially available sequencers has recently significantly increased. It has reached the point where measuring the RNA expression by the depth of coverage has become feasible even for largest genomes. The development of software tools is constantly following the progr...

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Detalles Bibliográficos
Autores principales: Leśniewska, Anna, Okoniewski, Michał J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128033/
https://www.ncbi.nlm.nih.gov/pubmed/21612622
http://dx.doi.org/10.1186/1471-2105-12-200
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author Leśniewska, Anna
Okoniewski, Michał J
author_facet Leśniewska, Anna
Okoniewski, Michał J
author_sort Leśniewska, Anna
collection PubMed
description BACKGROUND: The throughput of commercially available sequencers has recently significantly increased. It has reached the point where measuring the RNA expression by the depth of coverage has become feasible even for largest genomes. The development of software tools is constantly following the progress of biological hardware. In particular, as RNA sequencing software can be regarded genome browsers, exon junction tools and statistical tools operating on counts of reads in predefined regions. The library rnaSeqMap, freely available via Bioconductor, is an RNA sequencing software which is independent of any biological hardware platform. It is based upon standard Bioconductor infrastructure for sequencing data and includes several novel features focused on deeper understanding of coverage expression profiles and discovery of novel transcription regions. RESULTS: rnaSeqMap is a toolbox for analyses that may be performed with the use of gene annotations or alternatively, in an unsupervised mode, on any genomic region to find novel or non-standard transcripts. The data back-end may be a MySQL database or a set of files in standard BAM format. The processing in R can be run on a machine without any particular hardware requirements, and scales linearly with the number of genomic loci and number of samples analyzed. The main features of rnaSeqMap include coverage operations, discovering irreducible regions of high expression, significance search and splicing analyses with nucleotide granularity. CONCLUSIONS: This software may be used for a range of applications related to RNA sequencing by building customized analysis pipelines. The applicability and precision is expected to increase in parallel with the progress of the genome coverage in sequencers.
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spelling pubmed-31280332011-07-01 rnaSeqMap: a Bioconductor package for RNA sequencing data exploration Leśniewska, Anna Okoniewski, Michał J BMC Bioinformatics Software BACKGROUND: The throughput of commercially available sequencers has recently significantly increased. It has reached the point where measuring the RNA expression by the depth of coverage has become feasible even for largest genomes. The development of software tools is constantly following the progress of biological hardware. In particular, as RNA sequencing software can be regarded genome browsers, exon junction tools and statistical tools operating on counts of reads in predefined regions. The library rnaSeqMap, freely available via Bioconductor, is an RNA sequencing software which is independent of any biological hardware platform. It is based upon standard Bioconductor infrastructure for sequencing data and includes several novel features focused on deeper understanding of coverage expression profiles and discovery of novel transcription regions. RESULTS: rnaSeqMap is a toolbox for analyses that may be performed with the use of gene annotations or alternatively, in an unsupervised mode, on any genomic region to find novel or non-standard transcripts. The data back-end may be a MySQL database or a set of files in standard BAM format. The processing in R can be run on a machine without any particular hardware requirements, and scales linearly with the number of genomic loci and number of samples analyzed. The main features of rnaSeqMap include coverage operations, discovering irreducible regions of high expression, significance search and splicing analyses with nucleotide granularity. CONCLUSIONS: This software may be used for a range of applications related to RNA sequencing by building customized analysis pipelines. The applicability and precision is expected to increase in parallel with the progress of the genome coverage in sequencers. BioMed Central 2011-05-25 /pmc/articles/PMC3128033/ /pubmed/21612622 http://dx.doi.org/10.1186/1471-2105-12-200 Text en Copyright © 2011 Leśniewska and Okoniewski; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Leśniewska, Anna
Okoniewski, Michał J
rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title_full rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title_fullStr rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title_full_unstemmed rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title_short rnaSeqMap: a Bioconductor package for RNA sequencing data exploration
title_sort rnaseqmap: a bioconductor package for rna sequencing data exploration
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128033/
https://www.ncbi.nlm.nih.gov/pubmed/21612622
http://dx.doi.org/10.1186/1471-2105-12-200
work_keys_str_mv AT lesniewskaanna rnaseqmapabioconductorpackageforrnasequencingdataexploration
AT okoniewskimichałj rnaseqmapabioconductorpackageforrnasequencingdataexploration