MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing

Background Although the costs of next generation sequencing technology have decreased over the past years, there is still a lack of simple-to-use applications, for a comprehensive analysis of RNA sequencing data. There is no one-stop shop for transcriptomic genomics. We have developed MAP-RSeq, a co...

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Veröffentlicht in:	BMC bioinformatics Jg. 15; H. 1; S. 224
Hauptverfasser:	Kalari, Krishna R, Nair, Asha A, Bhavsar, Jaysheel D, O’Brien, Daniel R, Davila, Jaime I, Bockol, Matthew A, Nie, Jinfu, Tang, Xiaojia, Baheti, Saurabh, Doughty, Jay B, Middha, Sumit, Sicotte, Hugues, Thompson, Aubrey E, Asmann, Yan W, Kocher, Jean-Pierre A
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 27.06.2014 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Algorithms Analysis Base Sequence Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Exons - genetics Gene Expression Profiling Genes Genomics - methods Health Facilities High-Throughput Nucleotide Sequencing - methods Humans Life Sciences Microarrays Research projects RNA sequencing Sequence Analysis, RNA - methods Software Transcriptome analysis Transcriptomic sequencing Fusion transcripts RNA-Seq reports RNA-Seq Bioinformatics workflow Exon counts Gene expression Expressed single nucleotide variants
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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