dc.creator |
Krallinger, Martin |
|
dc.creator |
Valencia, Alfonso |
|
dc.date |
2008-04-08T10:34:32Z |
|
dc.date |
2008-04-08T10:34:32Z |
|
dc.date |
2005-06-28 |
|
dc.date.accessioned |
2017-01-31T01:01:37Z |
|
dc.date.available |
2017-01-31T01:01:37Z |
|
dc.identifier |
Genome Biology 2005, 6:224 |
|
dc.identifier |
1465-6914 |
|
dc.identifier |
http://hdl.handle.net/10261/3470 |
|
dc.identifier |
10.1186/gb-2005-6-7-224 |
|
dc.identifier.uri |
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3470 |
|
dc.description |
The electronic version of this article is the complete one and can be
found online at http://genomebiology.com/2005/6/7/224 |
|
dc.description |
Text-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. |
|
dc.description |
The work of our group was supported by grants from the European
Commission (ORIEL IST-2001-32688, TEMBLOR QLRT-2001-00015,
Biosapiens LSHC-CT-2003-505265). |
|
dc.description |
Peer reviewed |
|
dc.format |
725407 bytes |
|
dc.format |
application/pdf |
|
dc.language |
eng |
|
dc.publisher |
BioMed Central |
|
dc.relation |
Publisher’s version |
|
dc.rights |
openAccess |
|
dc.subject |
Bioinformatics |
|
dc.subject |
Methods |
|
dc.title |
Text-mining and information-retrieval services for molecular biology |
|
dc.type |
Artículo |
|