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.