ArticleGigaScience2020
Galaxy CLIP-Explorer: a web server for CLIP-Seq data analysis.
Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- SAM68 is a multifunctional post-transcriptional regulator of cardiomyocyte differentiation.Nucleic acids research · 2026Article
- PARANOiD: Pipeline for Automated Read ANalysis of iCLIP Data.Bioinformatics (Oxford, England) · 2026Article
- Comprehensive mapping of transcription terminator Rho utilization (Rut) sites across the Bacillus subtilis genome.Nucleic acids research · 2025Article
- Article
- The RNA-Binding Domain of hnRNP U Extends beyond the RGG/RG Motifs.Biochemistry · 2024Article
- hnRNP A1 dysfunction alters RNA splicing and drives neurodegeneration in multiple sclerosis (MS).Nature communications · 2024Article
- Characterization of RVFV Nucleocapsid Protein Binding Sites on RNA by iCLIP-seq.Methods in molecular biology (Clifton, N.J.) · 2024Article
- nf-core/clipseq - a robust Nextflow pipeline for comprehensive CLIP data analysis.Wellcome open research · 2023Article
- Shaping the Innate Immune Response Through Post-Transcriptional Regulation of Gene Expression Mediated by RNA-Binding Proteins.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPost-transcriptional regulation via RNA-binding proteins plays a fundamental role in every organism, but the regulatory mechanisms lack important understanding. Nevertheless, they can be elucidated by cross-linking immunoprecipitation in combination with high-throughput sequencing (CLIP-Seq). CLIP-Seq answers questions about the functional role of an RNA-binding protein and its targets by determining binding sites on a nucleotide level and associated sequence and structural binding patterns. In recent years the amount of CLIP-Seq data skyrocketed, urging the need for an automatic data analysis that can deal with different experimental set-ups. However, noncanonical data, new protocols, and a huge variety of tools, especially for peak calling, made it difficult to define a standard.
findingsCLIP-Explorer is a flexible and reproducible data analysis pipeline for iCLIP data that supports for the first time eCLIP, FLASH, and uvCLAP data. Individual steps like peak calling can be changed to adapt to different experimental settings. We validate CLIP-Explorer on eCLIP data, finding similar or nearly identical motifs for various proteins in comparison with other databases. In addition, we detect new sequence motifs for PTBP1 and U2AF2. Finally, we optimize the peak calling with 3 different peak callers on RBFOX2 data, discuss the difficulty of the peak-calling step, and give advice for different experimental set-ups.
conclusionCLIP-Explorer finally fills the demand for a flexible CLIP-Seq data analysis pipeline that is applicable to the up-to-date CLIP protocols. The article further shows the limitations of current peak-calling algorithms and the importance of a robust peak detection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.