Journal Article

PureCLIP: capturing target-specific protein–RNA interaction footprints from single-nucleotide CLIP-seq data

Marsico, Annalisa, Krakau, Sabrina, Richard, Hugues

2017

Overview

The iCLIP and eCLIP techniques facilitate the detection of protein–RNA interaction sites at high resolution, based on diagnostic events at crosslink sites. However, previous methods do not explicitly model the specifics of iCLIP and eCLIP truncation patterns and possible biases. We developed PureCLIP ( https://github.com/skrakau/PureCLIP ), a hidden Markov model based approach, which simultaneously performs peak-calling and individual crosslink site detection. It explicitly incorporates a non-specific background signal and, for the first time, non-specific sequence biases. On both simulated and real data, PureCLIP is more accurate in calling crosslink sites than other state-of-the-art methods and has a higher agreement across replicates.

• Publisher: BioMed Central,Springer Nature B.V,BMC
• Subject: Algorithms / Animal Genetics and Genomics / Bias / Binding Sites / Bioinformatics / Biomedical and Life Sciences / Computational Biology - methods / computer software / Consortia / Crosslink sites / Data analysis / Datasets / eCLIP-seq / Evolutionary Biology / Experiments / Gene expression / Genomes / Hidden Markov model / High-Throughput Nucleotide Sequencing / Human Genetics / iCLIP-seq / Life Sciences / Markov chain / Markov Chains / Method / Methods / Microbial Genetics and Genomics / Nucleotide Motifs / Plant Genetics and Genomics / Proteins / Protein–RNA interaction / Protocol / Reproducibility of Results / Ribonucleic acid / RNA / RNA & Gene Regulation / RNA - genetics / RNA - metabolism / RNA-Binding Proteins - metabolism / Sequence Analysis, RNA / Software