Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data
Year: 2017
Type: review
Abstract: In the past decade, significant progress has been made in complex disease research across multiple omics layers from genome, transcriptome and proteome to metabolome. There is an increasing awareness of the importance of biological interconnections, and much success has been achieved using systems biology approaches. However, because of the typical focus on one single omics layer at a time, existing systems biology findings explain only a modest portion of complex disease. Recent advances in multi-omics data collection and sharing present us new opportunities for studying complex diseases in a more comprehensive fashion, and yet simultaneously create new challenges considering the unprecedented data dimensionality and diversity. Here, our goal is to review extant and emerging network approaches that can be applied across multiple biological layers to facilitate a more comprehensive and integrative multilayered omics analysis of complex diseases.
Source: Briefings in Bioinformatics
DOI: 10.1093/bib/bbx066
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G104586243, Bioinformatics Strategies for Multidimensional Brain Imaging Genetics, Indiana Clinical and Translational Sciences Institute, Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease Pathology, Integrative Bioinformatics Approaches to Human Brain Genomics and Connectomics, THE NCAA-DOD GRAND ALLIANCE: CONCUSSION ASSESSMENT, RESEARCH, AND EDUCATION (CARE) CONSORTIUM, Alzheimer's Disease Neuroimaging Initiative, Memory Circuitry in MCI and Early Alzheimerâs Disease Prodrome: Molecular Drivers, Older Breast Cancer Patients: Risk For Cognitive Decline
OpenAlex ID: W2733047156