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  1. 2018

  2. A combined numerical algorithm for reconstructing the mathematical model for tuberculosis transmission with control programs

    Kabanikhin, S., Krivorotko, O. & Kashtanova, V., 1 Feb 2018, In: Eurasian Journal of Mathematical and Computer Applications. 26, 1, p. 121-131 11 p.

    Research output: Contribution to journal › Article › peer-review

  3. Argo_CUDA: Exhaustive GPU based approach for motif discovery in large DNA datasets

    Vishnevsky, O. V., Bocharnikov, A. V. & Kolchanov, N. A., 1 Feb 2018, In: Journal of Bioinformatics and Computational Biology. 16, 1, 23 p., 1740012.

    Research output: Contribution to journal › Article › peer-review

  4. High temperature and pressure influence the interdomain orientation of Nip7 proteins from P. abyssi and P. furiosus: MD simulations

    Medvedev, K. E., Kolchanov, N. A. & Afonnikov, D. A., 2 Jan 2018, In: Journal of Biomolecular Structure and Dynamics. 36, 1, p. 68-82 15 p.

    Research output: Contribution to journal › Article › peer-review

  5. An experimental study of the effect of rare polymorphisms of human HBB, HBD and F9 promoter TATA boxes on the kinetics of interaction with the TATA-binding protein

    Sharypova, E. B., Drachkova, I. A., Kashina, E. V., Rasskazov, D. A., Ponomarenko, M. P., Ponomarenko, M. P., Kolchanov, N. A. & Savinkova, L. K., 1 Jan 2018, In: Вавиловский журнал генетики и селекции. 22, 1, p. 145-152 8 p.

    Research output: Contribution to journal › Article › peer-review

  6. An integrated information system on bioresource collections of the FASO of Russia

    Lashin, S. A., Afonnikov, D. A., Genaev, M. A., Kazantsev, F. V., Komyshev, E. G., Oschepkova, E. A., Petrov, A. V., Rasskazov, D. A., Smirnova, A. A. & Kolchanov, N. A., 1 Jan 2018, In: Вавиловский журнал генетики и селекции. 22, 3, p. 386-393 8 p.

    Research output: Contribution to journal › Article › peer-review

  7. A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

    Penenko, A. V. & Mukatova, Z. S., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). SPIE, Vol. 10833. 5 p. 108338R. (Proceedings of SPIE; vol. 10833).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Digital field

    Kabanikhin, S. I. & Shishlenin, M. A., 1 Jan 2018, In: Georesursy. 20, 3, p. 139-141 3 p.

    Research output: Contribution to journal › Article › peer-review

  9. Numerical evaluation of the chemical data assimilation system in an urban scenario

    Penenko, A. V., Gochakov, A. V., Mukatova, Z. S. & Antokhin, P. N., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). SPIE-INT SOC OPTICAL ENGINEERING, 5 p. 108338V. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10833).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Recovering a Time-Dependent Diffusion Coefficient from Nonlocal Data

    Kabanikhin, S. I. & Shishlenin, M. A., 1 Jan 2018, In: Numerical Analysis and Applications. 11, 1, p. 38-44 7 p.

    Research output: Contribution to journal › Article › peer-review

  11. Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model

    Penenko, A., Penenko, V., Tsvetova, E., Grishina, A. & Antokhin, P., 1 Jan 2018, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers. Lirkov & Margenov, S. (eds.). Springer-Verlag GmbH and Co. KG, p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10665 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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