title: SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  Source code and sample data are available at http://svdetect.sourceforge.net/
authors.affiliation: INSERM U900, Institut Curie, Paris, France. svdetect@curie.fr
authors.forename: Bruno
authors.initials: B
authors.lastname: Zeitouni
authors.forename: Valentina
authors.initials: V
authors.lastname: Boeva
authors.forename: Isabelle
authors.initials: I
authors.lastname: Janoueix-Lerosey
authors.forename: Sophie
authors.initials: S
authors.lastname: Loeillet
authors.forename: Patricia
authors.initials: P
authors.lastname: Legoix-né
authors.forename: Alain
authors.initials: A
authors.lastname: Nicolas
authors.forename: Olivier
authors.initials: O
authors.lastname: Delattre
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Barillot
mesh_terms: D016678:Genome / Q000235:genetics*; D056914:Genomic Structural Variation; D023281:Genomics / Q000379:methods*; D012984:Software