A collaborative approach to develop a multi-omics data analytics platform for translational research

Applied and Translational Genomics

Volumn 3, Issue 4, 2014, Pages 105-108

  Schumacher, Axel ^a   Rujan, Tamas ^a   Hoefkens, Jens ^a  

^a GENEDATA AG   (Switzerland)

Author keywords

Data analytics; Data sharing; Integration; Omics; Scalability; Translational research

Indexed keywords

ARTICLE; BI DIRECTIONAL DATA FLOW; BIOINFORMATICS; CLINICAL DATA REPOSITORY; CLINICAL STUDY; COMPUTER SECURITY; DATA ANALYSIS; HEALTH INSURANCE; INFORMATION PROCESSING; INTEGRATION; KNOWLEDGE MANAGEMENT; LAW; LEARNING ALGORITHM; MULTI OMICS DATA ANALYSIS; PRIORITY JOURNAL; QUALITY CONTROL; RELIABILITY; STANDARDIZATION; STATISTICAL ANALYSIS; TRANSLATIONAL RESEARCH; WORKFLOW;

EID: 84927134474     PISSN: 22120661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atg.2014.09.010     Document Type: Article

References (6)

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