SegAnnDB: interactive Web-based genomic segmentation | Zendy

Toby Dylan Hocking | Zendy; Valentina Boeva | Zendy; Guillem Rigaill | Zendy; Gudrun Schleiermacher | Zendy; Isabelle JanoueixLerosey | Zendy; Olivier Delattre | Zendy; Wilfrid Richer | Zendy; Franck Bourdeaut | Zendy; Miyuki Suguro | Zendy; Masao Seto | Zendy; Francis Bach | Zendy; JeanPhilippe Vert | Zendy

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SegAnnDB: interactive Web-based genomic segmentation

Author(s) -

Toby Dylan Hocking,

Valentina Boeva,

Guillem Rigaill,

Gudrun Schleiermacher,

Isabelle JanoueixLerosey,

Olivier Delattre,

Wilfrid Richer,

Franck Bourdeaut,

Miyuki Suguro,

Masao Seto,

Francis Bach,

JeanPhilippe Vert

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu072

Subject(s) - computer science , segmentation , source code , genome browser , genome , web application , code (set theory) , chromosome , computational biology , artificial intelligence , world wide web , biology , genomics , genetics , gene , programming language , set (abstract data type)

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.

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