Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Moliang Chen"'
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Alternative polyadenylation (APA) is an important post-transcriptional modification event to process messenger RNA (mRNA) for transcriptional termination, transport, and translation. In the present study, we characterized poly(A) signals in Xenopus t
Externí odkaz:
https://doaj.org/article/77001ac9dc784307aeaaad920344d006
Publikováno v:
Expert Opinion on Drug Metabolism & Toxicology.
A survey on identification and quantification of alternative polyadenylation sites from RNA-seq data
Autor:
Moliang Chen, Guoli Ji, Wenbin Ye, Qianmin Lin, Hongjuan Fu, Xiaohui Wu, Yaru Su, Congting Ye
Publikováno v:
Briefings in Bioinformatics. 21:1261-1276
Alternative polyadenylation (APA) has been implicated to play an important role in post-transcriptional regulation by regulating mRNA abundance, stability, localization and translation, which contributes considerably to transcriptome diversity and ge
Publikováno v:
Bioinformatics. 35:2654-2656
Summary Alternative splicing (AS) is a well-established mechanism for increasing transcriptome and proteome diversity, however, detecting AS events and distinguishing among AS types in organisms without available reference genomes remains challenging
Autor:
Moliang Chen, Wenjie You, Guoli Ji, Hanjie Li, Mingshun Yuan, Lei Li, Guangzao Huang, James J. Cai
Publikováno v:
The Analyst. 142:3588-3597
The application of machine learning in cancer diagnostics has shown great promise and is of importance in clinic settings. Here we consider applying machine learning methods to transcriptomic data derived from tumor-educated platelets (TEPs) from ind
Publikováno v:
Bioinformatics. 34:2123-2125
Summary Alternative polyadenylation (APA) is now emerging as a widespread mechanism modulated tissue-specifically, which highlights the need to define tissue-specific poly(A) sites for profiling APA dynamics across tissues. We have developed an R pac
Publikováno v:
Bioinformatics
Motivation In gene expression studies, differential expression (DE) analysis has been widely used to identify genes with shifted expression mean between groups. Recently, differential variability (DV) analysis has been increasingly applied as analyzi
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 242:052035
Publikováno v:
27th Chinese Control & Decision Conference (2015 CCDC); 2015, p5568-5572, 5p
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Mar2019, Vol. 242 Issue 5, p1-1, 1p