Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3470
Share/Export:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Title

Text-mining and information-retrieval services for molecular biology

AuthorsKrallinger, Martin; Valencia, Alfonso
KeywordsBioinformatics
Methods
Issue Date28-Jun-2005
PublisherBioMed Central
CitationGenome Biology 2005, 6:224
AbstractText-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators.
DescriptionThe electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/7/224
URIhttp://hdl.handle.net/10261/3470
DOI10.1186/gb-2005-6-7-224
ISSN1465-6914
Appears in Collections:(CNB) Artículos

Files in This Item:
File Description SizeFormat
gb-2005-6-7-224.pdf708,41 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work

PubMed Central
Citations

54
checked on May 21, 2022

SCOPUSTM   
Citations

143
checked on May 18, 2022

WEB OF SCIENCETM
Citations

122
checked on May 19, 2022

Page view(s)

313
checked on May 21, 2022

Download(s)

126
checked on May 21, 2022

Google ScholarTM

Check

Altmetric

Dimensions


Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.