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RiboProP: a probabilistic ribosome positioning algorithm for ribosome profiling
Author(s) -
Dengke Zhao,
William Baez,
Kurt Fredrick,
Ralf Bundschuh
Publication year - 2018
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/bty854
Subject(s) - ribosome profiling , ribosome , computational biology , micrococcal nuclease , algorithm , shine dalgarno sequence , translation (biology) , computer science , biology , genetics , messenger rna , gene , rna , nucleosome , histone
Ribosome profiling has been widely used to study translation in a genome-wide fashion. It requires deep sequencing of ribosome protected mRNA fragments followed by mapping of fragments to the reference genome. For applications such as identification of ribosome pausing sites, it is not enough to map a fragment to a given gene, but the exact position of the ribosome represented by the fragment must be identified for each mRNA fragment. The assignment of the correct ribosome position is complicated by the broad length distribution of the ribosome protected fragments caused by the known sequence bias of micrococcal nuclease (MNase), the most widely used nuclease for digesting mRNAs in bacteria. Available mapping algorithms suffer from either MNase bias or low accuracy in characterizing the ribosome pausing kinetics.

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