Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Krakau S 

PROVIDER: S-EPMC5746957 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Krakau Sabrina S   Richard Hugues H   Marsico Annalisa A  

Genome biology 20171228 1


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-sp  ...[more]

Similar Datasets

| S-EPMC4053987 | biostudies-literature
| S-EPMC3400429 | biostudies-literature
| S-EPMC4412157 | biostudies-literature
| S-EPMC6211453 | biostudies-literature
| S-EPMC9279659 | biostudies-literature
| S-EPMC4054095 | biostudies-literature
| S-EPMC7657819 | biostudies-literature
| S-EPMC4196881 | biostudies-literature