Bayesian prediction of RNA translation from ribosome profiling

• Published in: Nucleic acids research Vol. 45; no. 6; pp. 2960 - 2972
• Main Authors: Malone, Brandon, Atanassov, Ilian, Aeschimann, Florian, Li, Xinping, Großhans, Helge, Dieterich, Christoph
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 07.04.2017
• Subjects: Animals; Bayes Theorem; Caenorhabditis elegans - genetics; Computational Biology; Computer Simulation; HEK293 Cells; High-Throughput Nucleotide Sequencing - methods; Humans; Mice; Open Reading Frames; Peptides - chemistry; Protein Biosynthesis; Proteomics; Ribosomes - chemistry; Ribosomes - metabolism; Sequence Analysis, RNA - methods

Ribosome profiling via high-throughput sequencing (ribo-seq) is a promising new technique for characterizing the occupancy of ribosomes on messenger RNA (mRNA) at base-pair resolution. The ribosome is responsible for translating mRNA into proteins, so information about its occupancy offers a detaile...