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PMID: 21612622 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

rnaSeqMap: a Bioconductor package for RNA sequencing data exploration.

BMC bioinformatics ·Vol. 12 ·2011-05-25 ·Pages 200

Leśniewska A, Okoniewski MJ

Abstract

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. 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. 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.

MeSH Terms
Animals Gene Expression Profiling Genome Humans Oligonucleotide Array Sequence Analysis Sequence Analysis, RNA Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Leśniewska Anna
Functional Genomics Center UNI ETH Zurich, Winterthurerstrasse, Switzerland.
Okoniewski Michał J
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2011-05-25
Epub
2011-00-25
Pages
200
Language
English
Region
England
NLM ID
100965194
PMCID
PMC3128033
Subset
IM
Analysis Services
Analysis Services

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