Abstract
Medical genomics relies on next-gen sequencing methods to decipher underlying molecular mechanisms of gene expression. This special issue collects materials originally presented at the “Centenary of Human Population Genetics” Conference-2019, in Moscow. Here we present some recent developments in computational methods tested on actual medical genetics problems dissected through genomics, transcriptomics and proteomics data analysis, gene networks, protein–protein interactions and biomedical literature mining. We have selected materials based on systems biology approaches, database mining. These methods and algorithms were discussed at the Digital Medical Forum-2019, organized by I.M. Sechenov First Moscow State Medical University presenting bioinformatics approaches for the drug targets discovery in cancer, its computational support, and digitalization of medical research, as well as at “Systems Biology and Bioinformatics”-2019 (SBB-2019) Young Scientists School in Novosibirsk, Russia. Selected recent advancements discussed at these events in the medical genomics and genetics areas are based on novel bioinformatics tools.
Highlights
Computational models for molecular mechanisms gene expression regulation analysis are in high demand in biomedicine
Gene expression regulation could be controlled at transcriptional, post-transcriptional, translational, gene network and pathways levels
The series of post-conference special journal issues [1,2,3,4,5] started from Bioinformatics of Genome Regulation and Structure (BGRS) conferences and related schools on systems biology and bioinformatics (SBB) in Novosibirsk, Russia
Summary
Computational models for molecular mechanisms gene expression regulation analysis are in high demand in biomedicine. The papers joined this thematic issue on medical genomics beyond the conferences, suggesting an analysis of gene expression regulation and providing protein structure prediction tools. The paper by Marianna Zolotovskaia and co-authors [6] discovered heterogeneities of tumors and cross-analyzes them with repertoires of drugs, which are currently in use in clinical oncology along with their molecular targets.
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