Linked Life Data

19629863

Source:http://linkedlifedata.com/resource/pubmed/id/19629863

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2009-7-24
pubmed:abstractText
Recent advances in technology, especially the merger between molecular biology, automation technology and computer science, are rapidly changing the manner in which pharmaceutical companies will discover new drug targets and develop new therapeutic drugs. One example of such a merger between different disciplines has been the development of technology platforms, such as cDNA microarrays and oligonucleotide arrays, allowing the generation of comprehensive gene expression profiles in a previously insurmountable throughput. Hereby, the major limitation is currently shifting from the efficient generation of biological information to the extraction of biological knowledge. However, given the foreseeable developments in data mining technologies and diverse computational biology tools, it can be anticipated that this information will foster the effectiveness to develop new and hopefully better drugs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
2040-3445
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
671-9
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Gene expression profiling in drug discovery and development.
pubmed:affiliation
Department of Exploratory Research, Boehringer Ingelheim, Austria Ges mbH, Dr Boehringergasse 5-11, Vienna, Austria. christian.stratowa@vie.boehringer-ingelheim.com
pubmed:publicationType
Journal Article, Review