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SegAnnDB: interactive web-based genomic segmentation

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.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01101868
Contributor : Jean-Philippe Vert <>
Submitted on : Saturday, January 10, 2015 - 12:04:52 AM
Last modification on : Thursday, July 1, 2021 - 5:58:07 PM

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Toby D. Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, et al.. SegAnnDB: interactive web-based genomic segmentation. Bioinformatics, Oxford University Press (OUP), 2014, 30 (11), pp.1539-1546. ⟨10.1093/bioinformatics/btu072⟩. ⟨hal-01101868⟩

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