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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Ecological genetics</journal-id><journal-title-group><journal-title xml:lang="en">Ecological genetics</journal-title><trans-title-group xml:lang="ru"><trans-title>Экологическая генетика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1811-0932</issn><issn publication-format="electronic">2411-9202</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">637074</article-id><article-id pub-id-type="doi">10.17816/ecogen637074</article-id><article-id pub-id-type="edn">JFNADD</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Problems in genetic education</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Проблемы генетического образования</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">A new era of bioinformatics</article-title><trans-title-group xml:lang="ru"><trans-title>Новая эра биоинформатики</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1601-1615</contrib-id><contrib-id contrib-id-type="spin">4914-7675</contrib-id><name-alternatives><name xml:lang="en"><surname>Aksenova</surname><given-names>Anna Yu.</given-names></name><name xml:lang="ru"><surname>Аксенова</surname><given-names>Анна Юрьевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology)</p></bio><bio xml:lang="ru"><p>кандидат биол. наук</p></bio><email>a.aksenova@spbu.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8683-9533</contrib-id><contrib-id contrib-id-type="spin">2223-5306</contrib-id><name-alternatives><name xml:lang="en"><surname>Zhuk</surname><given-names>Anna S.</given-names></name><name xml:lang="ru"><surname>Жук</surname><given-names>Анна Сергеевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology), Assistant Professor</p></bio><bio xml:lang="ru"><p>кандидат биол. наук, доцент</p></bio><email>ania.zhuk@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5854-8701</contrib-id><contrib-id contrib-id-type="spin">9121-7483</contrib-id><name-alternatives><name xml:lang="en"><surname>Stepchenkova</surname><given-names>Elena I.</given-names></name><name xml:lang="ru"><surname>Степченкова</surname><given-names>Елена Игоревна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology)</p></bio><bio xml:lang="ru"><p>кандидат биол. наук</p></bio><email>stepchenkova@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6923-0363</contrib-id><contrib-id contrib-id-type="spin">2251-5652</contrib-id><name-alternatives><name xml:lang="en"><surname>Semenikhin</surname><given-names>Viacheslav A.</given-names></name><name xml:lang="ru"><surname>Семенихин</surname><given-names>Вячеслав Алексеевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>vasemenikhin@hse.ru</email><xref ref-type="aff" rid="aff4"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7593-0830</contrib-id><contrib-id contrib-id-type="spin">6905-9451</contrib-id><name-alternatives><name xml:lang="en"><surname>Langovoy</surname><given-names>Mikhail А.</given-names></name><name xml:lang="ru"><surname>Ланговой</surname><given-names>Михаил Анатольевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio><p>Dr. rer. nat.</p></bio><email>mikhail@langovoy.com</email><xref ref-type="aff" rid="aff5"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Saint Petersburg State University</institution></aff><aff><institution xml:lang="ru">Санкт-Петербургский государственный университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">ITMO University</institution></aff><aff><institution xml:lang="ru">Университет ИТМО</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Vavilov Institute of General Genetics Russian Academy of Science, Saint Petersburg brunch</institution></aff><aff><institution xml:lang="ru">Институт общей генетики им. Н.И. Вавилова Российской академии наук, Санкт-Петербургский филиал</institution></aff></aff-alternatives><aff-alternatives id="aff4"><aff><institution xml:lang="en">Matheomics, Skolkovo Innovation Center</institution></aff><aff><institution xml:lang="ru">Матеомика, Инновационный центр Сколково</institution></aff></aff-alternatives><aff-alternatives id="aff5"><aff><institution xml:lang="en">Center for Artificial Intelligence SPbU</institution></aff><aff><institution xml:lang="ru">Центр искусственного интеллекта СПбГУ</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2025-03-05" publication-format="electronic"><day>05</day><month>03</month><year>2025</year></pub-date><pub-date date-type="pub" iso-8601-date="2025-06-27" publication-format="electronic"><day>27</day><month>06</month><year>2025</year></pub-date><volume>23</volume><issue>2</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>211</fpage><lpage>219</lpage><history><date date-type="received" iso-8601-date="2024-10-15"><day>15</day><month>10</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2025-03-05"><day>05</day><month>03</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.eco-vector.com/ecolgenet/article/view/637074">https://journals.eco-vector.com/ecolgenet/article/view/637074</self-uri><abstract xml:lang="en"><p>Bioinformatics is a rapidly growing discipline at the interface of biology, computer science, and mathematics.Recent scientific and technological advances in biological and biomedical sciences have led to a rapid increase in data generation. The analysis and interpretation of such data requires powerful computational tools and specialists with deep expertise in various fields, including molecular biology, genetics, programming, and mathematics. Currently, machine learning and deep learning methods are being rapidly integrated into various fields of biology and medicine, significantly transforming bioinformatic solutions and marking the advent of a new era in bioinformatics. The development of new algorithms and efficient data analysis methods using artificial intelligence forms the foundation for the future growth of this field. In this context, the demand for specialists capable of bridging the gap between biological and mathematical disciplines continues to grow, necessitating the adaptation of educational programs. This article reviews recent trends in bioinformatics, including the development of multi-omics approaches and the use of artificial intelligence, and highlights the importance of multidisciplinary education with advanced training in mathematics and statistics to prepare a new generation of scientists capable of driving innovation in this dynamic field.</p></abstract><trans-abstract xml:lang="ru"><p>Биоинформатика — это быстро развивающаяся дисциплина на стыке биологии, информатики и математики. Научно-технический прогресс в области биологических и биомедицинских наук за последние годы привел к стремительному росту объемов данных. Для анализа и интерпретации больших данных нужны мощные вычислительные инструменты и специалисты с глубокими знаниями в различных областях, включая молекулярную биологию, генетику, программирование и математику. В настоящее время происходит стремительная интеграция методов машинного и глубокого машинного обучения в различные области биологии и медицины, что в существенной степени меняет формат биоинформатических решений и позволяет говорить о наступлении новой эры в биоинформатике. Разработка новых алгоритмов и способов эффективного анализа данных с использованием искусственного интеллекта является основой для будущего развития этой области. В этой связи спрос на специалистов, способных преодолеть разрыв между биологическими и математическими дисциплинами, продолжает расти, что требует соответствующей адаптации учебных программ. В статье рассматриваются последние тенденции в биоинформатике, такие как развитие мультиомиксных подходов и использование искусственного интеллекта, а также подчеркивается важность многопрофильного образования с углубленным обучением в области математики и статистики для подготовки нового поколения ученых, способных стимулировать инновации в этой динамичной области науки.</p></trans-abstract><kwd-group xml:lang="en"><kwd>bioinformatics</kwd><kwd>machine learning</kwd><kwd>deep learning</kwd><kwd>omics technologies</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>биоинформатика</kwd><kwd>машинное обучение</kwd><kwd>глубокое машинное обучение</kwd><kwd>омиксные технологии</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">ФГБОУ ВО «Санкт-Петербургский государственный университет» (проект)</institution></institution-wrap><institution-wrap><institution xml:lang="en">Saint Petersburg State University, project</institution></institution-wrap></funding-source><award-id>125021902561-6</award-id></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Alser M, Lindegger J, Firtina C, et al. 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