Unknown

Dataset Information

0

SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data.


ABSTRACT: 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/

SUBMITTER: Zeitouni B 

PROVIDER: S-EPMC2905550 | biostudies-other | 2010 Aug

REPOSITORIES: biostudies-other

altmetric image

Publications

SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data.

Zeitouni Bruno B   Boeva Valentina V   Janoueix-Lerosey Isabelle I   Loeillet Sophie S   Legoix-né Patricia P   Nicolas Alain A   Delattre Olivier O   Barillot Emmanuel E  

Bioinformatics (Oxford, England) 20100801 15


<h4>Summary</h4>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 un  ...[more]

Similar Datasets

| S-EPMC4179644 | biostudies-literature
| S-EPMC5629590 | biostudies-literature
| S-EPMC3467043 | biostudies-literature
| PRJEB4453 | ENA
2023-09-27 | GSE227444 | GEO
| S-EPMC6400951 | biostudies-literature
| S-EPMC3531386 | biostudies-literature
| S-EPMC6914798 | biostudies-literature
| S-EPMC5657049 | biostudies-literature
| S-EPMC2872882 | biostudies-literature