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Literature DB >> 17238442

SemCat: semantically categorized entities for genomics.

Lorraine Tanabe¹, Lynne H Thom, Wayne Matten, Donald C Comeau, W John Wilbur.

Abstract

We describe the construction of a semantic database called SemCat consisting of a large number of semantically categorized names relevant to genomics. SemCat can be used to facilitate natural language processing in MEDLINE. We present suitable application areas including biomedical name classification and named entity recognition.

Mesh：

Year: 2006 PMID： 17238442 PMCID： PMC1839293

Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076

22 in total

1. Representing genomic knowledge in the UMLS semantic network.

Authors: H Yu; C Friedman; A Rhzetsky; P Kra
Journal: Proc AMIA Symp Date: 1999

2. A simple and practical dictionary-based approach for identification of proteins in Medline abstracts.

Authors: Sergei Egorov; Anton Yuryev; Nikolai Daraselia
Journal: J Am Med Inform Assoc Date: 2004-02-05 Impact factor: 4.497

3. GenBank.

Authors: Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal: Nucleic Acids Res Date: 2003-01-01 Impact factor: 16.971

4. GENIA corpus--semantically annotated corpus for bio-textmining.

Authors: J-D Kim; T Ohta; Y Tateisi; J Tsujii
Journal: Bioinformatics Date: 2003 Impact factor: 6.937

5. A comprehensive set of protein complexes in yeast: mining large scale protein-protein interaction screens.

Authors: Roland Krause; Christian von Mering; Peer Bork
Journal: Bioinformatics Date: 2003-10-12 Impact factor: 6.937

6. The U.S. National Library of Medicine's Toxicology and Environmental Health Information Program.

Authors: Philip Wexler
Journal: Toxicology Date: 2004-05-20 Impact factor: 4.221

7. The Unified Medical Language System.

Authors: D A Lindberg; B L Humphreys; A T McCray
Journal: Methods Inf Med Date: 1993-08 Impact factor: 2.176

8. Indexing consistency in MEDLINE.

Authors: M E Funk; C A Reid
Journal: Bull Med Libr Assoc Date: 1983-04

9. An enriched unified medical language system semantic network with a multiple subsumption hierarchy.

Authors: Li Zhang; Yehoshua Perl; Michael Halper; James Geller; James J Cimino
Journal: J Am Med Inform Assoc Date: 2004-02-05 Impact factor: 4.497

10. WormBase: better software, richer content.

Authors: Erich M Schwarz; Igor Antoshechkin; Carol Bastiani; Tamberlyn Bieri; Darin Blasiar; Payan Canaran; Juancarlos Chan; Nansheng Chen; Wen J Chen; Paul Davis; Tristan J Fiedler; Lisa Girard; Todd W Harris; Eimear E Kenny; Ranjana Kishore; Dan Lawson; Raymond Lee; Hans-Michael Müller; Cecilia Nakamura; Phil Ozersky; Andrei Petcherski; Anthony Rogers; Will Spooner; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Richard Durbin; John Spieth; Lincoln D Stein; Paul W Sternberg
Journal: Nucleic Acids Res Date: 2006-01-01 Impact factor: 16.971

5 in total

SemCat: semantically categorized entities for genomics.

1. Representing genomic knowledge in the UMLS semantic network.

2. A simple and practical dictionary-based approach for identification of proteins in Medline abstracts.

3. GenBank.

4. GENIA corpus--semantically annotated corpus for bio-textmining.

5. A comprehensive set of protein complexes in yeast: mining large scale protein-protein interaction screens.

6. The U.S. National Library of Medicine's Toxicology and Environmental Health Information Program.

7. The Unified Medical Language System.

8. Indexing consistency in MEDLINE.

9. An enriched unified medical language system semantic network with a multiple subsumption hierarchy.

10. WormBase: better software, richer content.

Review 1. Frontiers of biomedical text mining: current progress.

2. Finding biomedical categories in Medline®.

3. Prioritizing PubMed articles for the Comparative Toxicogenomic Database utilizing semantic information.

4. Identifying named entities from PubMed for enriching semantic categories.

5. Collaborative biocuration--text-mining development task for document prioritization for curation.