1. Deep learning approach to the estimation of the ratio of reproductive modes in a partially clonal population

    Nikolaeva, T. A., Poroshina, A. A. & Sherbakov, D. Y., Jun 2025, In: Vavilovskii Zhurnal Genetiki i Selektsii. 29, 3, p. 467-473 7 p., 14.

    Research output: Contribution to journalArticlepeer-review

  2. Deciphering auxin-ethylene crosstalk at a systems level

    Zemlyanskaya, E. V., Omelyanchuk, N. A., Ubogoeva, E. V. & Mironova, V. V., 14 Dec 2018, In: International Journal of Molecular Sciences. 19, 12, 15 p., 4060.

    Research output: Contribution to journalReview articlepeer-review

  3. Cytokinins regulate spatially specific ethylene production to control root growth in Arabidopsis

    Yamoune, A., Zdarska, M., Depaepe, T., Rudolfova, A., Skalak, J., Berendzen, K. W., Mira-Rodado, V., Fitz, M., Pekarova, B., Nicolas Mala, K. L., Tarr, P., Spackova, E., Tomovicova, L., Parizkova, B., Franczyk, A., Kovacova, I., Dolgikh, V., Zemlyanskaya, E., Pernisova, M., Novak, O., & 4 othersMeyerowitz, E., Harter, K., Van Der Straeten, D. & Hejatko, J., 11 Nov 2024, In: Plant Communications. 5, 11, 17 p., 101013.

    Research output: Contribution to journalArticlepeer-review

  4. Counting touching wheat grains in images based on elliptical approximation

    Avzalov, D. R., Komyshev, E. G. & Afonnikov, D. A., Jul 2025, In: Вавиловский журнал генетики и селекции. 29, 4, p. 608-614 7 p., 13.

    Research output: Contribution to journalArticlepeer-review

  5. Correction: Methane utilization in Methylomicrobium alcaliphilum 20ZR: A systems approach (Scientific Reports (2017) DOI: 10.1038/s41598-018-20574-z): a systems approach (vol 8, 2017)

    Akberdin, I. R., Thompson, M., Hamilton, R., Desai, N., Alexander, D., Henard, C. A., Guarnieri, M. T. & Kalyuzhnaya, M. G., 14 Mar 2018, In: Scientific Reports. 8, 1, p. 4753 1 p., 4753.

    Research output: Contribution to journalComment/debatepeer-review

  6. Consequences of early life stress on genomic landscape of H3K4me3 in prefrontal cortex of adult mice

    Ershov, N. I., Bondar, N. P., Lepeshko, A. A., Reshetnikov, V. V., Ryabushkina, J. A. & Merkulova, T. I., 9 Feb 2018, In: BMC Genomics. 19, Suppl 3, p. 93 11 p., 93.

    Research output: Contribution to journalArticlepeer-review

  7. Computer Simulation of the Evolution of Microbial Population: Overcoming Local Minima When Reaching a Peak on the Fitness Landscape

    Lashin, S. A., Mustafin, Z. S., Klimenko, A. I., Afonnikov, D. A. & Matushkin, Y. G., 1 Feb 2020, In: Russian Journal of Genetics. 56, 2, p. 242-252 11 p.

    Research output: Contribution to journalArticlepeer-review

  8. Computer analysis shows differences between mitochondrial miRNAs and other miRNAs

    Vorozheykin, P. S. & Titov, I. I., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 834-842 9 p.

    Research output: Contribution to journalArticlepeer-review

  9. Computational Reconstruction of the Transcription Factor Regulatory Network Induced by Auxin in Arabidopsis thaliana L.

    Omelyanchuk, N. A., Lavrekha, V. V., Bogomolov, A. G., Dolgikh, V. A., Sidorenko, A. D. & Zemlyanskaya, E. V., 10 Jul 2024, In: Plants. 13, 14, 1905.

    Research output: Contribution to journalArticlepeer-review

  10. Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to Rhizoctonia solani under excess nitrogen fertilization using gene network reconstruction and analysis methods

    Antropova, E. A., Volyanskaya, A. R., Adamovskaya, A. V., Demenkov, P. S., Yatsyk, I. V., Ivanisenko, T. V., Orlov, Y. L., Haoyu, C., Chen, M. & Ivanisenko, V. A., Dec 2024, In: Vavilovskii Zhurnal Genetiki i Selektsii. 28, 8, p. 960-973 14 p.

    Research output: Contribution to journalArticlepeer-review

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