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Extracting Alternative Splicing Information from Captions and Abstracts Using Natural Language Processing

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3 Author(s)
Chia Yang Cheng ; Dept. of Comput. Sci., Nat. Tsing Hau Univ., Taipei ; F. R. Hsu ; Chuan Yi Tang

Alternative splicing mechanisms provide protein diversity for cellular growth and development. In this research, we generate a database to descript alternative splicing in different circumstance from captions and abstracts in open access journals by using natural language processing techniques. We use medical subject headings(MeSH) to tag words, and extract the AS mechanism information by UMLS semantic network. In this database, AS information in genes on tissue-specificity, disease-related, developmental stage, functional implications, splicing type and species are contained.

Published in:

Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on

Date of Conference:

11-13 June 2008