A. Yurtseven, S. Buyanova, A. A. A. Agrawal, O. Bochkareva, and O. V. V. Kalinina, “Machine learning and phylogenetic analysis allow for predicting antibiotic resistance in M. tuberculosis,” BMC Microbiology, vol. 23, no. 1. Springer Nature, 2023.

A. Zabelkin, Y. Yakovleva, O. Bochkareva, and N. Alexeev, “PaReBrick: PArallel REarrangements and BReaks identification toolkit,” Bioinformatics, vol. 38, no. 2. Oxford Academic, pp. 357–363, 2022.

S. Knyazev et al., “Unlocking capacities of genomics for the COVID-19 response and future pandemics,” Nature Methods, vol. 19, no. 4. Springer Nature, pp. 374–380, 2022.

N. Dranenko, M. Tutukina, M. Gelfand, F. Kondrashov, and O. Bochkareva, “Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia,” Scientific Reports, vol. 12. Springer Nature, 2022.

L. Gonzalez Somermeyer et al., “Heterogeneity of the GFP fitness landscape and data-driven protein design,” eLife, vol. 11. eLife Sciences Publications, 2022.

R. Zhang et al., “A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis,” Genome Biology, vol. 23. BioMed Central, 2022.

M. G. Byazrova et al., “Anti-Ad26 humoral immunity does not compromise SARS-COV-2 neutralizing antibody responses following Gam-COVID-Vac booster vaccination,” npj Vaccines, vol. 7. Springer Nature, 2022.

M. Baumgartner et al., “Atypical enteropathogenic E. coli are associated with disease activity in ulcerative colitis,” Gut Microbes, vol. 14, no. 1. Taylor &; Francis, 2022.

K. Chhugani et al., “Remote opportunities for scholars in Ukraine,” Science, vol. 378, no. 6626. American Association for the Advancement of Science, pp. 1285–1286, 2022.

M. Pivoluska et al., “Semi-device-independent random number generation with flexible assumptions,” npj Quantum Information, vol. 7. Springer Nature, 2021.

Z. Seferbekova et al., “High rates of genome rearrangements and pathogenicity of Shigella spp,” Frontiers in Microbiology, vol. 12. Frontiers, 2021.

S. A. Slavskii et al., “The limits of normal approximation for adult height,” European Journal of Human Genetics, vol. 29, no. 7. Springer Nature, pp. 1082–1091, 2021.

S. Rella, Y. A. Kulikova, E. T. Dermitzakis, and F. Kondrashov, “Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains,” Scientific Reports, vol. 11, no. 1. Springer Nature, 2021.

B. A. Nimeth, S. Riegler, and M. Kalyna, “Alternative splicing and DNA damage response in plants,” Frontiers in Plant Science, vol. 11. Frontiers, 2020.

M. Plesch, S. Plesník, and N. Ruzickova, “The IYPT and the ‘Ring Oiler’ problem,” European Journal of Physics, vol. 41, no. 3. IOP Publishing, 2020.

L. A. Uroshlev et al., “A method for identification of the methylation level of CpG islands from NGS data,” Scientific Reports, vol. 10. Springer Nature, 2020.

S. A. Mukba, P. Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova, and E. Z. Alkalaeva, “Expanding the genetic code: Unnatural base pairs in biological systems,” Molecular Biology, vol. 54, no. 4. Springer Nature, pp. 475–484, 2020.

S. A. Mukba, P. Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova, and E. Z. Alkalaeva, “Expanding the genetic code: Unnatural base pairs in biological systems,” Molekuliarnaia biologiia, vol. 54, no. 4. Russian Academy of Sciences, pp. 531–541, 2020.

L. A. Esteban et al., “HypercubeME: Two hundred million combinatorially complete datasets from a single experiment,” Bioinformatics, vol. 36, no. 6. Oxford Academic, pp. 1960–1962, 2020.

S.  Galan, N. N. Machnik, K. Kruse, N. Díaz, M. A. Marti-Renom, and J. M. Vaquerizas, “CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction,” Nature Genetics, vol. 52. Springer Nature, pp. 1247–1255, 2020.