A new portal for the analysis of human splicing variants

Author(s)

Kroll, Jose Eduardo ^{[1, 2]} ; Galante, Pedro A. F. ^[1] ; Ohara, Daniel T. ^[1] ; Navarro, Fabio C. P. ^[1] ; Ohno-Machado, Lucila ^[3] ; de Souza, Sandro J. ^[1]

Affiliation

^[1] Ludwig Inst Canc Res, Lab Computat Biol, Sao Paulo - Brazil

^[2] Univ Sao Paulo, Interinst Program Bioinformat, Sao Paulo - Brazil

^[3] Univ Calif San Diego, Div Biomed Informat, Bioinformat Grp, La Jolla, CA 92093 - USA

• Document type: Journal article
• Source: RNA BIOLOGY; v. 9, n. 11, p. 1339-1343, NOV 2012.
• Web of Science Citations: 8

Abstract

Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although several groups have faced this challenge with relative success, we still lack a computational tool that uses a simple and straightforward method to retrieve, name and present ASEs. Here we present SPLOOCE, a portal for the analysis of human splicing variants. SPLOOCE uses a method based on regular expressions for retrieval of ASEs. We propose a simple syntax that is able to capture the complexity of ASEs. (AU)

• FAPESP's process: 09/53853-5 - Acquisition of a high-performance platform for computational analyses applied to the field of medicine
• Grantee: Wilson Araújo da Silva Junior
• Support Opportunities: Multi-user Equipment Program