Open AccesspulseR: Versatile computational analysis of RNA turnover from metabolic labeling experiments
Author(s) -
Alexey Uvarovskii,
Christoph Dieterich
Publication year - 2017
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/btx368
Subject(s) - rna , computer science , computational biology , chemistry , biochemistry , biology , gene
Metabolic labelling of RNA is a well-established and powerful method to estimate RNA synthesis and decay rates. The pulseR R package simplifies the analysis of RNA-seq count data that emerge from corresponding pulse-chase experiments.
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