Multi-omics Data Integration, Interpretation, and Its Application

Autor: Indhupriya Subramanian, Srikant Verma, Shiva Kumar, Abhay Jere, Krishanpal Anamika
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Bioinformatics and Biology Insights, Vol 14 (2020)
Druh dokumentu: article
ISSN: 1177-9322
11779322
DOI: 10.1177/1177932219899051
Popis: To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions. With the advent of high-throughput techniques and availability of multi-omics data generated from a large set of samples, several promising tools and methods have been developed for data integration and interpretation. In this review, we collected the tools and methods that adopt integrative approach to analyze multiple omics data and summarized their ability to address applications such as disease subtyping, biomarker prediction, and deriving insights into the data. We provide the methodology, use-cases, and limitations of these tools; brief account of multi-omics data repositories and visualization portals; and challenges associated with multi-omics data integration.
Databáze: Directory of Open Access Journals
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