ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS: A NEW ERA IN GENOME ANALYSIS
Keywords:
artificial intelligence, bioinformatics, genome analysis, machine learning, deep learning, computational biology, gene predictionAbstract
Artificial intelligence technologies bring their best value to bioinformatics through their ability to transform genomic research by providing better methods for analyzing genetic data. The development of these technologies now enables researchers to study personalized medicine and agricultural biotechnology and evolutionary biology, as artificial intelligence and bioinformatics now combine to create a new way of understanding genetic information.
Downloads
References
Lander, E.S. Initial impact of the sequencing of the human genome // Nature. – 2011. – Vol. 470, No. 7333. – P. 187-197.
Libbrecht, M.W., Noble, W.S. Machine learning applications in genetics and genomics // Nature Reviews Genetics. – 2015. – Vol. 16, No. 6. – P. 321-332.
Eraslan, G., Avsec, Ž., Gagneur, J., Theis, F.J. Deep learning: new computational modelling techniques for genomics // Nature Reviews Genetics. – 2019. – Vol. 20, No. 7. – P. 389-403.
Angermueller, C., Pärnamaa, T., Parts, L., Stegle, O. Deep learning for computational biology // Molecular Systems Biology. – 2016. – Vol. 12, No. 7. – P. 878.
Гельфанд, М.С. Компьютерный анализ геномов: гены, белки и регуляция // Молекулярная биология. – 2018. – Т. 52, № 6. – С. 901-913.
Салиев, А.Б., Рахимов, Н.К. Геномика ва биoinformatikaning qishloq xo'jaligida qo'llanilishi // O'zbekiston Biologiya Jurnali. – 2022. – № 4. – B. 45-52.
Poplin, R., Chang, P.C., Alexander, D. et al. A universal SNP and small-indel variant caller using deep neural networks // Nature Biotechnology. – 2018. – Vol. 36, No. 10. – P. 983-987.
Колчанов, Н.А., Игнатьева, Е.В., Подколодная, О.А. Интеграция данных геномики и транскриптомики // Вавиловский журнал генетики и селекции. – 2019. – Т. 23, № 7. – С. 820-828.
Zou, J., Huss, M., Abid, A., Mohammadi, P., Torkamani, A., Telenti, A. A primer on deep learning in genomics // Nature Genetics. – 2019. – Vol. 51, No. 1. – P. 12-18.
Topol, E.J. High-performance medicine: the convergence of human and artificial intelligence // Nature Medicine. – 2019. – Vol. 25, No. 1. – P. 44-56.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.
