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PMID: 14992494 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

A database designed to computationally aid an experimental approach to alternative splicing.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing ·2004-00-00 ·Pages 78-88

Zheng CL, Nair TM, Gribskov M, Kwon YS, Li HR, Fu XD

Abstract

A unique microarray approach has been developed to profile alternative splicing in the cell. To support the development of this approach, we have developed the Manually Annotated Alternatively Spliced Events (MAASE) database system, which is a unique alternative splicing information resource designed specifically with experimentalists in mind. MAASE is an online resource for the convenient access, identification, and annotation of alternative splicing events (ASEs). MAASE consists of two components: an annotation system and a curated database. The annotation system is a web-based workspace that combines manual and computational approaches to identifying and annotating ASEs, a combination that is vital if a comprehensive collection is to be obtained. The annotation system is publicly available and provides a scalable solution to acquiring as well as contributing to annotated ASEs. MAASE annotated ASEs are deposited into the database component, which can either be queried one entry at a time or multiple entries at a time with convenient access to alternatively spliced junctional and surrounding sequences to facilitate the design of microarray experiments.

MeSH Terms
Alternative Splicing Computational Biology Database Management Systems Databases, Nucleic Acid Oligonucleotide Array Sequence Analysis/statistics & numerical data Software Design
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Zheng C L
University of California, San Diego, San Diego Supercomputer Center, 9500 Gilman Dr., La Jolla, CA 92093, USA. czheng@sdsc.edu
Nair T M
Gribskov M
Kwon Y S
Li H R
Fu X D
Article Info
Journal
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Abbr.
Pac Symp Biocomput
ISSN
2335-6928
Published
2004-00-00
Pages
78-88
Language
English
Region
United States
NLM ID
9711271
Subset
IM
Grants
NCI NIH HHS · CA-88351 · United States
NCRR NIH HHS · RR08605 · United States
Analysis Services
Analysis Services

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