1. Генетический контроль и молекулярные маркеры устойчивости сахарной свеклы к патогенам

    Смирнова, О. Г., Хакимов, М. Б. & Салина, Е. А., 30 Sept 2025, In: Ecological Genetics. 23, 3, p. 277-286

    Research output: Contribution to journalArticlepeer-review

  2. Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem

    Zenin, M. S., Devyaterikov, A. P. & Palyanov, A. Y., 2025, In: Vavilov Journal of Genetics and Breeding. 29, 7, p. 1051-1061 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. Hedgehog signaling in humans: the HH_Signal_pathway_db knowledge base

    Bukharina, T. A., Bondarenko, A. M. & Furman, D. P., 2025, In: Vavilov Journal of Genetics and Breeding. 29, 7, p. 978-989 12 p.

    Research output: Contribution to journalArticlepeer-review

  4. Direct UV photodegradation of nalidixic acid in aqueous solutions: A mechanistic study

    Tyutereva, Y. E., Snytnikova, O. A., Fedunov, R. G., Yanshole, V. V., Plyusnin, V. F., Xu, J. & Pozdnyakov, I. P., Sept 2023, In: Chemosphere. 334, 138952.

    Research output: Contribution to journalArticlepeer-review

  5. Cell type-specific interpretation of noncoding variants using deep learning-based methods

    Sindeeva, M., Chekanov, N., Avetisian, M., Shashkova, T. I., Baranov, N., Malkin, E., Lapin, A., Kardymon, O. & Fishman, V., 20 Mar 2023, In: GigaScience. 12, p. 1-11 11 p., giad015.

    Research output: Contribution to journalArticlepeer-review

ID: 12340362