RiboDiff: detecting changes of mRNA translation efficiency from ribosome footprints
Author(s) -
義夫 田中,
Theofanis Karaletsos,
Philipp Drewe,
Vipin T. Sreedharan,
David Kuo,
Kamini Singh,
HansGuido Wendel,
Gunnar Rätsch
Publication year - 2016
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/btw585
Subject(s) - ribosome profiling , translation (biology) , computer science , ribosome , computational biology , preprocessor , messenger rna , data mining , biology , rna , artificial intelligence , gene , genetics
Deep sequencing based ribosome footprint profiling can provide novel insights into the regulatory mechanisms of protein translation. However, the observed ribosome profile is fundamentally confounded by transcriptional activity. In order to decipher principles of translation regulation, tools that can reliably detect changes in translation efficiency in case-control studies are needed.
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