Linked Life Data

20639544

Source:http://linkedlifedata.com/resource/pubmed/id/20639544

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
15
pubmed:dateCreated
2010-7-19
pubmed:abstractText
SUMMARY: We present SVDetect, a program designed to identify genomic structural variations from paired-end and mate-pair next-generation sequencing data produced by the Illumina GA and ABI SOLiD platforms. Applying both sliding-window and clustering strategies, we use anomalously mapped read pairs provided by current short read aligners to localize genomic rearrangements and classify them according to their type, e.g. large insertions-deletions, inversions, duplications and balanced or unbalanced inter-chromosomal translocations. SVDetect outputs predicted structural variants in various file formats for appropriate graphical visualization. AVAILABILITY: Source code and sample data are available at http://svdetect.sourceforge.net/
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1895-6
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data.
pubmed:affiliation
INSERM U900, Institut Curie, Paris, France. svdetect@curie.fr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't