Genomics pipelines and data integration: challenges and opportunities in the research setting.

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Bibliographic Details
Title: Genomics pipelines and data integration: challenges and opportunities in the research setting.
Authors: Davis-Turak J; a OnRamp Bioinformatics, Inc ., San Diego , CA., Courtney SM; b MUSC Bioinformatics , Center for Genomics Medicine, Medical University of South Carolina (MUSC) , Charleston , SC.; c Department of Pathology and Laboratory Medicine , MUSC , Charleston , USA., Hazard ES; b MUSC Bioinformatics , Center for Genomics Medicine, Medical University of South Carolina (MUSC) , Charleston , SC.; d Library Science and Informatics , MUSC , Charleston , USA., Glen WB Jr; b MUSC Bioinformatics , Center for Genomics Medicine, Medical University of South Carolina (MUSC) , Charleston , SC.; c Department of Pathology and Laboratory Medicine , MUSC , Charleston , USA., da Silveira WA; b MUSC Bioinformatics , Center for Genomics Medicine, Medical University of South Carolina (MUSC) , Charleston , SC.; c Department of Pathology and Laboratory Medicine , MUSC , Charleston , USA., Wesselman T; a OnRamp Bioinformatics, Inc ., San Diego , CA., Harbin LP; e Department of Public Health Sciences , MUSC , Charleston , USA., Wolf BJ; e Department of Public Health Sciences , MUSC , Charleston , USA., Chung D; e Department of Public Health Sciences , MUSC , Charleston , USA., Hardiman G; b MUSC Bioinformatics , Center for Genomics Medicine, Medical University of South Carolina (MUSC) , Charleston , SC.; e Department of Public Health Sciences , MUSC , Charleston , USA.; f Department of Medicine , MUSC , Charleston , USA.
Source: Expert review of molecular diagnostics [Expert Rev Mol Diagn] 2017 Mar; Vol. 17 (3), pp. 225-237. Date of Electronic Publication: 2017 Jan 25.
Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 101120777 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-8352 (Electronic) Linking ISSN: 14737159 NLM ISO Abbreviation: Expert Rev Mol Diagn Subsets: MEDLINE
Database: MEDLINE Ultimate
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