Integrative methods for analyzing big data in precision medicine. Issue 5 (March 2016)

• Record Type: Journal Article
• Authors: Gligorijević, Vladimir; Malod‐Dognin, Noël; Pržulj, Nataša
• Other Names: Dunn Michael J. guestEditor.
• Is Part Of: Proteomics. Volume 16:Issue 5(2016)
• Page Start: 741
• Page End: 758
• Publication Date: 2016-03
• Subjects: Big data -- Bioinformatics -- Integration methods -- Personalized medicine; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201500396
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract : We provide an overview of recent developments in big data analyses in the context of precision medicine and health informatics. With the advance in technologies capturing molecular and medical data, we entered the area of "Big Data" in biology and medicine. These data offer many opportunities to advance precision medicine. We outline key challenges in precision medicine and present recent advances in data integration‐based methods to uncover personalized information from big data produced by various omics studies. We survey recent integrative methods for disease subtyping, biomarkers discovery, and drug repurposing, and list the tools that are available to domain scientists. Given the ever‐growing nature of these big data, we highlight key issues that big data integration methods will face.