Article
Systematic identification of intron retention associated variants from massive publicly available transcriptome sequencing data.
Nature communications - 29 Sept 2022
Shiraishi Yuichi, Okada Ai, Chiba Kenichi, Kawachi Asuka, Omori Ikuko, Mateos Raúl Nicolás, Iida Naoko, Yamauchi Hirofumi, Kosaki Kenjiro, Yoshimi Akihide
Abstract excerpt
Many disease-associated genomic variants disrupt gene function through abnormal splicing. With the advancement of genomic medicine, identifying disease-associated splicing associated variants has become more important than ever. Most bioinformatics approaches to detect splicing associated variants require both genome and transcriptomic data. However, there are not many datasets where both of them are available....
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
