CLIP-EZ: a computational tool for HITS-CLIP data analysis

Computational analysis of CLIP-seq data.

CLIP-seq experiments are currently the most important means for determining the binding sites of RNA binding proteins on a genome-wide level. The computational analysis can be divided into three steps. In the first pre-processing stage, raw reads have to be trimmed and mapped to the genome. This step has to be specifically adapted for each CLIP-seq protocol. The next step is peak calling, which...

YODEL : Peak calling software for HITS - CLIP data

YODEL is a peak calling software for analyzing RNA sequencing data generated by High-Throughput Sequencing of RNA isolated by Crosslinking Immunoprecipitation (HITS-CLIP; also known as CLIP-SEQ), a method to identify RNA-protein interactions genome-wide. We designed YODEL to analyze HITS-CLIP experiments, in which Argonaute proteins are immunoprecipitated, followed by sequencing of the associat...

Computational Methods for CLIP-seq Data Processing

RNA-binding proteins (RBPs) are at the core of post-transcriptional regulation and thus of gene expression control at the RNA level. One of the principal challenges in the field of gene expression regulation is to understand RBPs mechanism of action. As a result of recent evolution of experimental techniques, it is now possible to obtain the RNA regions recognized by RBPs on a transcriptome-wid...

Assessing Computational Steps for CLIP-Seq Data Analysis

RNA-binding protein (RBP) is a key player in regulating gene expression at the posttranscriptional level. CLIP-Seq, with the ability to provide a genome-wide map of protein-RNA interactions, has been increasingly used to decipher RBP-mediated posttranscriptional regulation. Generating highly reliable binding sites from CLIP-Seq requires not only stringent library preparation but also considerab...

Statistical Analysis of PAR-CLIP data