Open AccessParseq: reconstruction of microbial transcription landscape from RNA-Seq read counts using state-space models
Author(s) -
Bogdan Mirăuță,
Pierre Nicolas,
Hugues Richard
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu042
Subject(s) - transcription (linguistics) , computational biology , computer science , biology , genome , count data , genetics , statistics , gene , mathematics , philosophy , linguistics , poisson distribution
The most common RNA-Seq strategy consists of random shearing, amplification and high-throughput sequencing of the RNA fraction. Methods to analyze transcription level variations along the genome from the read count profiles generated by the RNA-Seq protocol are needed.
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