OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression-Reference-Cited by-同舟云学术

OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression

Published:2008-01-31 Issue:1 Volume:9 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Hunter Lawrence,Lu Zhiyong,Firby James,Baumgartner William A,Johnson Helen L,Ogren Philip V,Cohen K Bretonnel

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-9-78.pdf

Reference62 articles.

1. Sparck Jones K: Natural language processing: A historical review. Current Issues in Computational Linguistics: in Honour of Don Walker (Ed Zampolli, Calzolari and Palmer), Amsterdam: Kluwer 1994.

2. Rebholz-Schuhmann D, Kirsch H, Couto F: Facts from text -- is text mining ready to deliver? PLoS Biol 2005, 3(2):e65. 10.1371/journal.pbio.0030065

3. Hoffmann R, Valencia A: A gene network for navigating the literature. Nat Genet 2004/07/01 edition. 2004, 36(7):664. 10.1038/ng0704-664

4. Shah PK, Jensen LJ, Boué S, Bork P: Extraction of transcript diversity from scientific literature. PLoS Comput Biol 2005, 1(1):e10. 10.1371/journal.pcbi.0010010

5. Horn F, Lau AL, Cohen FE: Automated extraction of mutation data from the literature: application of MuteXt to G protein-coupled receptors and nuclear hormone receptors. Bioinformatics 2004, 20(4):557–568. 10.1093/bioinformatics/btg449

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