Abstract
Summary Ribosome profiling enables genome-wide analysis of translation with unprecedented resolution. We present Ribo-seQC, a versatile tool for the comprehensive analysis of Ribo-seq data, providing in-depth insights on data quality and translational profiles for cytoplasmic and organelle ribosomes. Ribo-seQC automatically generates platform-independent HTML reports, offering a detailed and easy-to-share basis for collaborative Ribo-seq projects.
Availability Ribo-seQC is available at https://github.com/ohlerlab/RiboseQC and submitted to Bioconductor.
Contact uwe.ohler{at}mdc-berlin.de
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Posted April 08, 2019.
Ribo-seQC: comprehensive analysis of cytoplasmic and organellar ribosome profiling data
