A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data

Authors

Iman Rezaeian, University of WindsorFollow
Ahmad Tavakoli, Universty of WindsorFollow
Dora Cavallo-Medved, University of WindsorFollow
Lisa A. Porter, University of WindsorFollow
Luis Rueda, University of WindsorFollow

Document Type

Article

Publication Date

4-2016

Publication Title

Journal of Biomedical Informatics

Volume

60

First Page

422

Last Page

430

Abstract

In cancer alternative RNA splicing represents one mechanism for flexible gene regulation, whereby protein isoforms can be created to promote cell growth, division and survival. Detecting novel splice junctions in the cancer transcriptome may reveal pathways driving tumorigenic events. In this regard, RNA-Seq, a high-throughput sequencing technology, has expanded the study of cancer transcriptomics in the areas of gene expression, chimeric events and alternative splicing in search of novel biomarkers for the disease.

DOI

https://doi.org/10.1016/j.jbi.2016.03.010

Comments

The pipeline, along with their corresponding algorithms, are available upon request

Recommended Citation

Rezaeian, Iman; Tavakoli, Ahmad; Cavallo-Medved, Dora; Porter, Lisa A.; and Rueda, Luis, "A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data" (2016). Journal of Biomedical Informatics, 60, 422-430.
https://scholar.uwindsor.ca/biologypub/106