Linked Life Data

21143983

Source:http://linkedlifedata.com/resource/pubmed/id/21143983

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-12-21
pubmed:abstractText
The opportunities for bacterial population genomics that are being realised by the application of parallel nucleotide sequencing require novel bioinformatics platforms. These must be capable of the storage, retrieval, and analysis of linked phenotypic and genotypic information in an accessible, scalable and computationally efficient manner.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1471-2105
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
595
pubmed:dateRevised
2011-3-8
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
BIGSdb: Scalable analysis of bacterial genome variation at the population level.
pubmed:affiliation
Department of Zoology, University of Oxford, UK. keith.jolley@zoo.ox.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't