Ontology highlight
ABSTRACT:
SUBMITTER: Dargahi D
PROVIDER: S-EPMC4259500 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Dargahi Daryanaz D Swayze Richard D RD Yee Leanna L Bergqvist Peter J PJ Hedberg Bradley J BJ Heravi-Moussavi Alireza A Dullaghan Edie M EM Dercho Ryan R An Jianghong J Babcook John S JS Jones Steven Jm SJ
Cancer informatics 20141204
High-throughput transcriptome sequencing allows identification of cancer-related changes that occur at the stages of transcription, pre-messenger RNA (mRNA), and splicing. In the current study, we devised a pipeline to predict novel alternative splicing (AS) variants from high-throughput transcriptome sequencing data and applied it to large sets of tumor transcriptomes from The Cancer Genome Atlas (TCGA). We identified two novel tumor-associated splice variants of matriptase, a known cancer-asso ...[more]