htseq-clip

htseq-clip extracts and summarizes nucleotide-resolution crosslink site counts from iCLIP and eCLIP sequencing data to support identification and comparison of RNA-binding protein binding sites across the transcriptome.


Key Features:

  • Preprocessing: Performs essential preprocessing of raw iCLIP and eCLIP sequencing data to prepare reads for downstream analysis.
  • Crosslink Site Count Extraction: Extracts nucleotide-resolution crosslink site counts from processed iCLIP/eCLIP reads.
  • Summarization and Metrics Generation: Summarizes crosslink counts into matrices and generates additional metrics for filtering and downstream analyses.
  • Differential Binding Site Identification Support: Produces outputs applicable to identification and comparison of differential RNA-binding protein binding sites across samples or conditions.

Scientific Applications:

  • Transcriptome-wide RBP mapping: Enables analysis of transcriptome-wide RNA-binding protein binding patterns at nucleotide resolution using iCLIP and eCLIP data.
  • Comparative differential binding analysis: Supports comparative studies of changes in RNA–protein interactions across biological states or experimental conditions.

Methodology:

Implemented in Python, htseq-clip performs preprocessing of iCLIP/eCLIP reads, extracts nucleotide-resolution crosslink site counts, summarizes counts into matrices, and generates metrics for filtering and downstream differential binding analyses.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/28/2023
Last Updated:
1/28/2023

Operations

Publications

Sahadevan S, Sekaran T, Ashaf N, Fritz M, Hentze MW, Huber W, Schwarzl T. htseq-clip: a toolset for the preprocessing of eCLIP/iCLIP datasets. Bioinformatics. 2022;39(1). doi:10.1093/bioinformatics/btac747. PMID:36394253. PMCID:PMC9825771.

PMID: 36394253
PMCID: PMC9825771
Funding: - EMBL Interdisciplinary Postdoc (EIPOD) programme under Marie Sklodowska-Curie Actions COFUND programme: 291772

Documentation