Ontology highlight
ABSTRACT: Motivation
DNA copy number profiles characterize regions of chromosome gains, losses and breakpoints in tumor genomes. Although many models have been proposed to detect these alterations, it is not clear which model is appropriate before visual inspection the signal, noise and models for a particular profile.Results
We propose SegAnnDB, a Web-based computer vision system for genomic segmentation: first, visually inspect the profiles and manually annotate altered regions, then SegAnnDB determines the precise alteration locations using a mathematical model of the data and annotations. SegAnnDB facilitates collaboration between biologists and bioinformaticians, and uses the University of California, Santa Cruz genome browser to visualize copy number alterations alongside known genes.Availability and implementation
The breakpoints project on INRIA GForge hosts the source code, an Amazon Machine Image can be launched and a demonstration Web site is http://bioviz.rocq.inria.fr.
SUBMITTER: Hocking TD
PROVIDER: S-EPMC4029035 | biostudies-literature | 2014 Jun
REPOSITORIES: biostudies-literature
Hocking Toby D TD Boeva Valentina V Rigaill Guillem G Schleiermacher Gudrun G Janoueix-Lerosey Isabelle I Delattre Olivier O Richer Wilfrid W Bourdeaut Franck F Suguro Miyuki M Seto Masao M Bach Francis F Vert Jean-Philippe JP
Bioinformatics (Oxford, England) 20140203 11
<h4>Motivation</h4>DNA copy number profiles characterize regions of chromosome gains, losses and breakpoints in tumor genomes. Although many models have been proposed to detect these alterations, it is not clear which model is appropriate before visual inspection the signal, noise and models for a particular profile.<h4>Results</h4>We propose SegAnnDB, a Web-based computer vision system for genomic segmentation: first, visually inspect the profiles and manually annotate altered regions, then Seg ...[more]