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  1. 2019

  2. BiosyntheticSPAdes: reconstructing biosynthetic gene clusters from assembly graphs

    Meleshko, D., Mohimani, H., Tracanna, V., Hajirasouliha, I., Medema, M. H., Korobeynikov, A. & Pevzner, P. A., 1 Aug 2019, In: Genome Research. 29, 8, p. 1352-1362 11 p.

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

  3. Области притяжения в обобщённой задаче Капицы

    Морозов, Н. Ф., Беляев, А. К., Товстик, П. Е., Товстик, Т. М. & Товстик, Т. П., Aug 2019, In: ДОКЛАДЫ АКАДЕМИИ НАУК. 487, 5, p. 502-506 5 p.

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

  4. Замечание о некоторых классических критериях математической статистики

    Лунев, И. С. & Некруткин, В. В., 17 Jun 2019, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. МАТЕМАТИКА. МЕХАНИКА. АСТРОНОМИЯ. 6, 2, p. 221-231 12 p.

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

  5. Analytic evaluation of the fractional moments for the quasi-stationary distribution of the Shiryaev martingale on an interval

    Li, K., Polunchenko, A. S. & Pepelyshev, A., 6 Jun 2019, (E-pub ahead of print) In: Communications in Statistics: Simulation and Computation.

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

  6. On solving stochastic differential equations

    Ermakov, S. M. & Pogosian, A. A., 1 Jun 2019, In: Monte Carlo Methods and Applications. 25, 2, p. 155-161 7 p.

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

  7. PathRacer: Racing Profile HMM Paths on Assembly Graph

    Shlemov, A. & Korobeynikov, A., 25 May 2019, 6th International Conference on Algorithms for Computational Biology. Martín-Vide, C., Vega-Rodríguez, M. A. & Holmes, I. (eds.). Springer Nature, p. 80-94 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11488 LNBI).

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

  8. Noise model estimation with application to gene expression

    Zhornikova, P., Golyandina, N. & Spirov, A., 1 Apr 2019, In: Journal of Bioinformatics and Computational Biology. 17, 2, 20 p., 1950009.

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

  9. Метод Монте-Карло для решения систем ОДУ

    Ермаков, С. М. & Товстик, Т. М., 21 Mar 2019, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. МАТЕМАТИКА. МЕХАНИКА. АСТРОНОМИЯ. 6(64), 3, p. 411–421 11 p.

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

  10. Сводные таблицы MS Excel в задачах и ответах

    Бурнаева, Э. Г. & Леора, С. Н., 19 Feb 2019, Санкт-Петербург. 24 p.

    Research output: Book/Report/Anthology › Teaching manual › peer-review

  11. Selection of a covariance kernel for a Gaussian random field aimed for modeling global optimization problems

    Žilinskas, A., Zhigljavsky, A., Nekrutkin, V. & Kornikov, V., 12 Feb 2019, 14TH INTERNATIONAL GLOBAL OPTIMIZATION WORKSHOP (LEGO). Emmerich, MTM., Deutz, AH., Hille, SC. & Sergeyev, YD. (eds.). American Institute of Physics, Vol. 2070. 4 p. 20043. (AIP Conference Proceedings; vol. 2070).

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

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