Systems Genomics Approaches for Understanding Multi-omics Data
A special issue of Biomolecules (ISSN 2218-273X).
Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 16945
Special Issue Editors
Interests: systems genomics; lncRNAs; protein interactions; known unknowns; next generation sequencing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the recent past, comprehensive studies on systems biology integrated approaches have yielded answers to that have allowed one to understand various biological processes. From integrating multi-layer ‘omic’ data to target identification, a host of molecular mechanisms at the systems level has been applied. With the advent of next-generation sequencing technologies, understanding complex biological systems has not only become easy but has also enabled one to ascertain biological functions at the organism level. In this process, a lot of focus has been on regulatory systems genomic approaches inherent to biomolecules, specifically, protein–protein interactions and protein–DNA interactions. This has further helped researchers to construct integrative genome-phenome approaches besides exploring non-coding RNA-protein interactions for the development of heuristic models to help strengthen experiments and therapeutic models to ascertain diseasome studies. Inferring bona fide systems genomic approaches, however, is a major bottleneck. In this proposed call, we invite authors to contribute to this research topic, focusing on (but not limited to) the following:
(a) Sequence–structure–functional genomics approaches to ascertain the multi-omics data
(b) Shared pathways and mechanisms to understand diseasome and phenome-interactome networks
(c) Non-coding RNA -protein interactions and systems networks
(d) Machine learning-based approaches for systems biology
(e) Gene ontology, classification, and precision medicine
Dr. Prashanth N Suravajhala
Dr. Alexey Golstov
Guest Editors
Manuscript Submission Information
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Keywords
- Functional Genomics
- Parallels between top-down and bottom-up system approaches
- Efflux pumps and flux balance genomics
- Non-coding RNA
- Regulatory genomics
- Molecular pathway approaches
