Recent trends in cancer genomics and bioinformatics tools development

Anashkina A.A.^{1, 2} , Leberfarb E.Y.³ , Orlov Y.L. ^{1, 4, 5, 6}

International Journal of Molecular Sciences

MDPI AG

22

Английский

Опубликовано

Внешняя ссылка

10.3390/ijms222212146

12146

22

2021

• ¹ The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, 119991, Russian Federation
• ² Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
• ³ Department of Medicinal Chemistry, Novosibirsk State Medical University, Novosibirsk, 630091, Russian Federation
• ⁴ Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation
• ⁵ Life Sciences Department, Novosibirsk State University, Novosibirsk, 630090, Russian Federation
• ⁶ Agrarian and Technological Institute, Peoples’ Friendship University of Russia, Moscow, 117198, Russian Federation

adenosine diphosphate ribosylation factor; immunoglobulin G; succinate dehydrogenase; amino acid sequence; bioinformatics; cancer growth; cancer prognosis; carotid body tumor; cell infiltration; chronic low grade inflammation; differential gene expression; Editorial; endometriosis; gene expression; gene expression regulation; gene interaction; gene mutation; genetic database; genetic heterogeneity; genome-wide association study; high throughput sequencing; human; immunocompetent cell; machine learning; medical genetics; medical research; Mendelian randomization analysis; molecular mechanics; molecular model; molecular phylogeny; neuroendocrine tumor; nonhuman; oncogene; oncogenomics; oncology; population genetics; protein analysis; protein expression; protein structure; publication; scientific literature; symposium; systems biology; tumor growth

16.12.2021

16.12.2021

https://repository.rudn.ru/ru/records/article/record/76525/