Linked Life Data

19954899

Source:http://linkedlifedata.com/resource/pubmed/id/19954899

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2010-10-4
pubmed:abstractText
New technologies, which constantly become available for mutation detection and gene analysis, have contributed to an exponential rate of discovery of disease genes and variation in the human genome. The task of collecting and documenting this enormous amount of data in genetic databases represents a major challenge for the future of biological and medical science. The Locus Specific Databases (LSDBs) are so far the most efficient mutation databases. This review presents the main types of databases available for the analysis of mutations responsible for genetic disorders, as well as open perspectives for new therapeutic research or challenges for future medicine. Accurate and exhaustive collection of variations in human genomes will be crucial for research and personalized delivery of healthcare.
pubmed:language
fre
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1768-3114
pubmed:author
pubmed:copyrightInfo
Copyright © 2009 Elsevier Masson SAS. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
58
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
387-95
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
[Genetic mutation databases: stakes and perspectives for orphan genetic diseases].
pubmed:affiliation
Laboratoire de Génétique Moléculaire, CHU de Montpellier, 34000 Montpellier, France. veronique.humbertclaude@inserm.fr
pubmed:publicationType
Journal Article, English Abstract, Review