A new era of bioinformatics

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Abstract

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.

About the authors

Anna Yu. Aksenova

Saint Petersburg State University

Author for correspondence.
Email: a.aksenova@spbu.ru
ORCID iD: 0000-0002-1601-1615
SPIN-code: 4914-7675

Cand. Sci. (Biology)

Russian Federation, Saint Petersburg

Anna S. Zhuk

Saint Petersburg State University; ITMO University; Vavilov Institute of General Genetics Russian Academy of Science, Saint Petersburg brunch

Email: ania.zhuk@gmail.com
ORCID iD: 0000-0001-8683-9533
SPIN-code: 2223-5306

Cand. Sci. (Biology), Assistant Professor

Russian Federation, Saint Petersburg; Saint Petersburg; Saint Petersburg

Elena I. Stepchenkova

Saint Petersburg State University; Vavilov Institute of General Genetics Russian Academy of Science, Saint Petersburg brunch

Email: stepchenkova@gmail.com
ORCID iD: 0000-0002-5854-8701
SPIN-code: 9121-7483

Cand. Sci. (Biology)

Russian Federation, Saint Petersburg; Saint Petersburg

Viacheslav A. Semenikhin

Matheomics, Skolkovo Innovation Center

Email: vasemenikhin@hse.ru
ORCID iD: 0000-0001-6923-0363
SPIN-code: 2251-5652
Russian Federation, Moscow

Mikhail А. Langovoy

Center for Artificial Intelligence SPbU

Email: mikhail@langovoy.com
ORCID iD: 0000-0002-7593-0830
SPIN-code: 6905-9451

Dr. rer. nat.

Russian Federation, Saint Petersburg

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