{"id":696,"date":"2026-02-16T10:56:49","date_gmt":"2026-02-16T07:56:49","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2026\/?page_id=696"},"modified":"2026-02-27T10:39:28","modified_gmt":"2026-02-27T07:39:28","slug":"section_1_4","status":"publish","type":"page","link":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/section_1_4\/","title":{"rendered":"Section \u201cGenome-wide transcriptomics (differential gene expression)\u201d"},"content":{"rendered":"<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The section \u201cGenome-wide transcriptomics (differential gene expression)\u201d of the symposium \u201cGenomics, transcriptomics and bioinformatics\u201d is dedicated to presenting and discussing modern advances in the study of transcriptomes of humans, animals, plants, microorganisms and viruses, based on the integration of experimental and computational approaches.<\/span><\/p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The central questions of the section include:<\/span><\/p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">New bioinformatics methods, statistical models, computational technologies, machine learning and computer modeling for whole-genome analysis of transcriptomes and differential gene expression,<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Quality control of transcriptomic data obtained in cross-platform studies: normalization and correction<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Computer analysis of transcriptomic data to identify new cause-and-effect patterns of organization and functioning of molecular genetic systems and gene networks at the level of cells, tissues, organs and whole organisms.<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Reconstruction of full transcriptomes, detection of alternative splicing, mapping of intercellular interactions in tissue architecture, including in human diseases;<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Methods and results of analysis of single-cell transcriptome data (scRNA-seq) for identification of cell heterogeneity and trajectories of their development in complex tissues<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Computational algorithms, solutions and results for spatial transcriptomics;<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Methods and results of computer analysis of the structural and functional organization of RNA molecules of various classes;<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Evolutionary aspects of transcriptomic data analysis;<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Applied aspects of computational transcriptomics (in biotechnology, biomedicine, pharmacology, agrobiotechnology and other fields).<\/span><\/li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">Integrative works combining experimental and bioinformatic approaches within unified omics studies are welcome.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The section \u201cGenome-wide transcriptomics (differential gene expression)\u201d of the symposium \u201cGenomics, transcriptomics and bioinformatics\u201d is dedicated to presenting and discussing modern advances in the study of transcriptomes of humans, animals, plants, microorganisms and viruses, based on the integration of experimental and computational approaches. The central questions of the section include: New bioinformatics methods, statistical models, [&hellip;]<\/p>\n","protected":false},"author":3967,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/696"}],"collection":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/users\/3967"}],"replies":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/comments?post=696"}],"version-history":[{"count":5,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/696\/revisions"}],"predecessor-version":[{"id":904,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/696\/revisions\/904"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/media?parent=696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}