{"id":774,"date":"2026-02-20T09:17:05","date_gmt":"2026-02-20T06:17:05","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2026\/?page_id=774"},"modified":"2026-02-20T09:28:09","modified_gmt":"2026-02-20T06:28:09","slug":"section_1_1","status":"publish","type":"page","link":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/section_1_1\/","title":{"rendered":"Section \u201cStructural and functional organization of genomes\u201d"},"content":{"rendered":"<p data-start=\"1639\" data-end=\"1991\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The information explosion in genetics, driven by the development of high-throughput omics technologies, has led to the accumulation of massive genomic datasets, growing at a rate of up to 40 exabytes per year. A key tool for processing and analyzing these data is computational genomics, whose constantly expanding range of topical challenges includes:<\/span><\/p>\n<ul data-start=\"1993\" data-end=\"2738\">\n<li data-start=\"1993\" data-end=\"2077\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\"><em data-start=\"1995\" data-end=\"2004\">de novo<\/em> genome assembly of humans, animals, plants, microorganisms, and viruses;<\/span><\/li>\n<li data-start=\"2078\" data-end=\"2135\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">identification of linkage groups and haplotype phasing;<\/span><\/li>\n<li data-start=\"2136\" data-end=\"2347\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">high-resolution functional genome annotation, including identification and functional characterization of genes, non-coding RNAs, regulatory elements, repetitive sequences, mobile genetic elements, and others;<\/span><\/li>\n<li data-start=\"2348\" data-end=\"2386\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">whole-genome DNA sequence alignment;<\/span><\/li>\n<li data-start=\"2387\" data-end=\"2477\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">reconstruction and analysis of pangenomes, including detection of core and unique genes;<\/span><\/li>\n<li data-start=\"2478\" data-end=\"2569\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">comparative genomics and identification of mutations (SNPs, indels, structural variants);<\/span><\/li>\n<li data-start=\"2570\" data-end=\"2611\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">GWAS (genome-wide association studies);<\/span><\/li>\n<li data-start=\"2612\" data-end=\"2658\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">epigenetics of genomic DNA and metagenomics;<\/span><\/li>\n<li data-start=\"2659\" data-end=\"2738\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">evolutionary, population, and ecological genomics, as well as phylogeography.<\/span><\/li>\n<\/ul>\n<p data-start=\"2740\" data-end=\"2956\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The rapid growth of genomic data volumes calls for the development of a new generation of analytical methods based on integrating classical bioinformatics approaches with machine learning and artificial intelligence.<\/span><\/p>\n<p data-start=\"2958\" data-end=\"3271\" data-is-last-node=\"\" data-is-only-node=\"\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The goal of organizing and holding Section B 1.1 is to discuss these and other issues that are important both for advancing fundamental knowledge about the structural and functional organization of genomes, the codes and mechanisms underlying genome function, and for addressing a broad range of applied problems.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The information explosion in genetics, driven by the development of high-throughput omics technologies, has led to the accumulation of massive genomic datasets, growing at a rate of up to 40 exabytes per year. A key tool for processing and analyzing these data is computational genomics, whose constantly expanding range of topical challenges includes: de novo [&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\/774"}],"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=774"}],"version-history":[{"count":3,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/774\/revisions"}],"predecessor-version":[{"id":777,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/774\/revisions\/777"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/media?parent=774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}