Affiliation:
1. Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
2. 1Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Abstract
Abstract:
Multi-omics approaches have developed as a profitable technique for plant systems, a
popular method in medical and biological sciences underlining the necessity to outline new integrative
technology and functions to facilitate the multi-scale depiction of biological systems. Understanding
a biological system through various omics layers reveals supplementary sources of
variability and probably inferring the sequence of cases leading to a definitive process. Manuscripts
and reviews were searched on PubMed with the keywords of multi-omics, data analysis,
omics, data analysis, data integration, deep learning multi-omics, and multi-omics integration. Articles
that were published after 2010 were prioritized. The authors focused mainly on popular
publications developing new approaches. Omics reveal interesting tools to produce behavioral
and interactions data in microbial communities, and integrating omics details into microbial risk
assessment will have an impact on food safety, and also on relevant spoilage control procedures.
Omics datasets, comprehensively characterizing biological cases at a molecular level, are continually
increasing in both dimensionality and complexity. Multi-omics data analysis is appropriate
for treatment optimization, molecular testing and disease prognosis, and to achieve mechanistic
understandings of diseases. New effective solutions for multi-omics data analysis together with
well-designed components are recommended for many trials. The goal of this mini-review article
is to introduce multi-omics technologies considering different multi-omics analyses.
Funder
National Key R&D Program of China
Natural Science Foundation of Beijing, China
Publisher
Bentham Science Publishers Ltd.
Subject
Pharmaceutical Science,Molecular Medicine,Biochemistry,Biophysics
Cited by
2 articles.
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