Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2020 Aug 28;21(17):6224.
doi: 10.3390/ijms21176224.

Bioinformatics Methods in Medical Genetics and Genomics

Affiliations
Editorial

Bioinformatics Methods in Medical Genetics and Genomics

Yuriy L Orlov et al. Int J Mol Sci. .

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.

Keywords: bioinformatics; gene expression; genomics; human population genetics; medical genetics.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Baranova A.V., Orlov Y.L. The papers presented at 7th Young Scientists School “Systems Biology and Bioinformatics” (SBB’15): Introductory Note. BMC Genet. 2016;17:20. doi: 10.1186/s12863-015-0326-5. - DOI - PMC - PubMed
    1. Baranova A.V., Klimontov V.V., Letyagin A.Y., Orlov Y.L. Medical genomics research at BGRS-2018. BMC Med. Genom. 2019;12:36. doi: 10.1186/s12920-019-0480-0. - DOI - PMC - PubMed
    1. Orlov Y.L., Baranova A.V., Markel A.L. Computational models in genetics at BGRS\SB-2016: Introductory note. BMC Genet. 2016;17:155. doi: 10.1186/s12863-016-0465-3. - DOI - PMC - PubMed
    1. Orlov Y.L., Hofestädt R., Tatarinova T.V. Bioinformatics research at BGRS\SB-2018. J. Bioinform. Comp. Biol. 2019;17:1902001. doi: 10.1142/S0219720019020013. - DOI - PubMed
    1. Tatarinova T.V., Chen M., Orlov Y.L. Bioinformatics research at BGRS-2018. BMC Bioinform. 2019;20:33. doi: 10.1186/s12859-018-2566-7. - DOI - PMC - PubMed

Publication types

LinkOut - more resources