A new era of bioinformatics

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.

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Publication Details

Journal
Ecological genetics
Published
2025-06-27
DOI
https://doi.org/10.17816/ecogen637074
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A new era of bioinformatics

Anna Y. Aksenova, Anna S. Zhuk, Mikhail Langovoy, Elena I. Stepchenkova et al.
Ecological genetics
Genetics, Bioinformatics, and Biomedical Research
article

A new era of bioinformatics

Anna Y. Aksenova, Anna S. Zhuk, Mikhail Langovoy, Elena I. Stepchenkova, Viacheslav A. Semenikhin
article en

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.

Ecological geneticsVol. 23(2)
St Petersburg University (RU), ITMO University (RU), Vavilov Institute of General Genetics (RU), Artificial Intelligence in Medicine (Canada) (CA), Skolkovo Foundation (RU)
Openalex Percentile: Top 78%
Genetics, Bioinformatics, and Biomedical Research
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A new era of bioinformatics — Anna Y. Aksenova, Anna S. Zhuk, et al. · Ecological genetics (2025) | TGRS Research Map | TGRS