Computational analysis of CLIP-seq data

2017/02/23 by Michaël Uhl, Michael Uhl, Torsten Houwaart +3 · 2 citations
Biochemistry, Genetics and Molecular Biology · Engineering · #Biology #Computational biology #Computer science #Data mining #Engineering #False discovery rate #Gene #Genetics #Protocol (science) #RNA Research and Splicing #RNA and protein synthesis mechanisms #RNA regulation and disease #Task (project management)

paper · doi:10.1016/j.ymeth.2017.02.006

openalex publication_date 2017/02/23 · crossref created 2017/02/23 · crossref issued 2017/04/01 · crossref published 2017/04/01 · crossref published-print 2017/04/01 · crossref deposited 2024/06/22 · openalex created_date 2025/10/10 · crossref indexed 2026/07/18 · openalex updated_date 2026/07/28

Citations

• Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP
• The rise of regulatory RNA
• Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses
• iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution
• Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP)

Cited by

• Data Science Issues in Studying Protein–RNA Interactions with CLIP Technologies
• Cross-linking immunoprecipitation [wikipedia]