Integrative data mining highlights candidate genes for monogenic myopathies

PLoS ONE

Volumn 9, Issue 10, 2014, Pages

  Neto, Osorio Abath ^a,b   Tassy, Olivier ^a   Biancalana, Valé Rie ^a,c   Zanoteli, Edmar ^b   Pourquié, Olivier ^a   Laporte, Jocelyn ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b Departamento de Neurologia Faculdade de Medicina de Saã O Paulo FMUSP   (Brazil)

^c HÔPITAL CIVIL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; ARTICLE; B3GALNT2 GENE; B3GNT1 GENE; CONTROLLED STUDY; DATA MINING; FILTRATION; GENE; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ASSOCIATION; GENETIC LINKAGE; GENETIC SCREENING; GENOMICS; GMPPB GENE; HIGH THROUGHPUT SEQUENCING; MOLECULAR BIOLOGY; MOLECULAR PATHOLOGY; MONOGENIC DISORDER; MUSCULAR DYSTROPHY; MYOPATHY; PHENOTYPE; PREDICTION; PROTEIN INTERACTION; SKELETAL MUSCLE; VALIDATION PROCESS; GENE ONTOLOGY; GENE REGULATORY NETWORK; GENETIC PREDISPOSITION; GENETICS; HUMAN; MUSCLE DISEASE; PROCEDURES;

DATA MINING; GENE ONTOLOGY; GENE REGULATORY NETWORKS; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MUSCULAR DISEASES; PHENOTYPE;

EID: 84908592834     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0110888     Document Type: Article

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