logo
ResearchBunny Logo
InPACT: a computational method for accurate characterization of intronic polyadenylation from RNA sequencing data

Biology

InPACT: a computational method for accurate characterization of intronic polyadenylation from RNA sequencing data

X. Liu, H. Chen, et al.

Discover InPACT, the groundbreaking computational method that accurately characterizes intronic polyadenylation (IPA) from RNA-seq data, revealed by our talented team of researchers including Xiaochuan Liu, Hao Chen, Zekun Li, and others. This innovative approach uncovers numerous unannotated IPA transcripts, highlights temporally coordinated IPA events during monocyte activation, and identifies context-specific IPA isoforms in fetal bone marrow single-cell RNA-seq data.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny