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The problem of therapy and drug treatment course is complicated by extremely high heterogeneity in the benign cell populations, the random arrangement of tumor cells, and polymorphism of their nuclei. The pathogenesis of gliomas needs to be studied using modern cellular technologies, genome- and transcriptome-wide technologies of high-throughput sequencing, analysis of gene expression on microarrays, and methods of modern bioinformatics to find new therapy targets. Functional annotation of genes related to the disease could be retrieved based on genetic databases and cross-validated by integrating complementary experimental data. Gene network reconstruction for a set of genes (proteins) proved to be effective approach to study mechanisms underlying disease progression. We used online bioinformatics tools for annotation of gene list for glioma, reconstruction of gene network and comparative analysis of gene ontology categories. The available tools and the databases for glioblastoma gene analysis are discussed together with the recent progress in this field.<\/jats:p>","DOI":"10.1515\/jib-2021-0031","type":"journal-article","created":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T03:55:19Z","timestamp":1637034919000},"source":"Crossref","is-referenced-by-count":7,"title":["Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools"],"prefix":"10.1515","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2940-3287","authenticated-orcid":false,"given":"Natalya V.","family":"Gubanova","sequence":"first","affiliation":[{"name":"Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences , 630090 Novosibirsk , Russia"}]},{"given":"Nina G.","family":"Orlova","sequence":"additional","affiliation":[{"name":"Financial University under the Government of the Russian Federation , 119991 Moscow , Russia"},{"name":"Moscow State Technical University of Civil Aviation , 125993 Moscow , Russia"}]},{"given":"Arthur I.","family":"Dergilev","sequence":"additional","affiliation":[{"name":"Novosibirsk State University , 630090 Novosibirsk , Russia"}]},{"given":"Nina Y.","family":"Oparina","sequence":"additional","affiliation":[{"name":"University of Gothenburg , 405 30 Gothenburg , Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0587-1609","authenticated-orcid":false,"given":"Yuriy L.","family":"Orlov","sequence":"additional","affiliation":[{"name":"Novosibirsk State University , 630090 Novosibirsk , Russia"},{"name":"The Digital Health Institute, I.M.Sechenov First Moscow State Medical University of the Russian Ministry of Health , 119991 Moscow , Russia"}]}],"member":"374","published-online":{"date-parts":[[2021,11,16]]},"reference":[{"key":"2023033120115557073_j_jib-2021-0031_ref_001","doi-asserted-by":"crossref","unstructured":"Ohgaki, H, Kleihues, P. 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