Integrative data mining highlights candidate genes for monogenic myopathies.

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Bibliographic Details
Title: Integrative data mining highlights candidate genes for monogenic myopathies.
Authors: Abath Neto O; Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France; Departamento de Neurologia, Faculdade de Medicina de São Paulo (FMUSP), São Paulo, Brazil., Tassy O; Dept. of Development & Stem Cells, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France., Biancalana V; Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France; Faculté de Médecine, Laboratoire de Diagnostic Génétique, Nouvel Hopital Civil, Strasbourg, France., Zanoteli E; Departamento de Neurologia, Faculdade de Medicina de São Paulo (FMUSP), São Paulo, Brazil., Pourquié O; Dept. of Development & Stem Cells, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France., Laporte J; Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France.
Source: PloS one [PLoS One] 2014 Oct 29; Vol. 9 (10), pp. e110888. Date of Electronic Publication: 2014 Oct 29 (Print Publication: 2014).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0110888