Linked Life Data

19065136

Source:http://linkedlifedata.com/resource/pubmed/id/19065136

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-12-18
pubmed:abstractText
The flow of research data concerning the genetic basis of health and disease is rapidly increasing in speed and complexity. In response, many projects are seeking to ensure that there are appropriate informatics tools, systems and databases available to manage and exploit this flood of information. Previous solutions, such as central databases, journal-based publication and manually intensive data curation, are now being enhanced with new systems for federated databases, database publication, and more automated management of data flows and quality control. Along with emerging technologies that enhance connectivity and data retrieval, these advances should help to create a powerful knowledge environment for genotype-phenotype information.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1471-0064
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
9-18
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Genotype-phenotype databases: challenges and solutions for the post-genomic era.
pubmed:affiliation
Department of Genetics, University of Leicester, University Road, Leicester LE1 7RH, UK.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't