| MGnify: the microbiome analysis resource in 2020 AL Mitchell, A Almeida, M Beracochea, M Boland, J Burgin, G Cochrane, ... Nucleic acids research 48 (D1), D570-D578, 2020 | 591 | 2020 |
| Dereplication of microbial metabolites through database search of mass spectra H Mohimani, A Gurevich, A Shlemov, A Mikheenko, A Korobeynikov, ... Nature communications 9 (1), 4035, 2018 | 310 | 2018 |
| Multivariate and 2D extensions of singular spectrum analysis with the Rssa package N Golyandina, A Korobeynikov, A Shlemov, K Usevich arXiv preprint arXiv:1309.5050, 2013 | 165 | 2013 |
| Increased diversity of peptidic natural products revealed by modification-tolerant database search of mass spectra A Gurevich, A Mikheenko, A Shlemov, A Korobeynikov, H Mohimani, ... Nature microbiology 3 (3), 319, 2018 | 96 | 2018 |
| Variations of singular spectrum analysis for separability improvement: non-orthogonal decompositions of time series N Golyandina, A Shlemov arXiv preprint arXiv:1308.4022, 2013 | 82 | 2013 |
| MetaMiner: a scalable peptidogenomics approach for discovery of ribosomal peptide natural products with blind modifications from microbial communities L Cao, A Gurevich, KL Alexander, CB Naman, T Leão, E Glukhov, ... Cell systems 9 (6), 600-608. e4, 2019 | 73 | 2019 |
| Reconstructing antibody repertoires from error-prone immunosequencing reads A Shlemov, S Bankevich, A Bzikadze, MA Turchaninova, Y Safonova, ... The Journal of Immunology 199 (9), 3369-3380, 2017 | 44 | 2017 |
| Shaped extensions of singular spectrum analysis A Shlemov, N Golyandina arXiv preprint arXiv:1401.4980, 2014 | 24 | 2014 |
| Shaped singular spectrum analysis for quantifying gene expression, with application to the early Drosophila embryo A Shlemov, N Golyandina, D Holloway, A Spirov BioMed research international 2015, 2015 | 18* | 2015 |
| PathRacer: Racing Profile HMM Paths on Assembly Graph A Shlemov, A Korobeynikov International Conference on Algorithms for Computational Biology, 80-94, 2019 | 13 | 2019 |
| Shaped 3D singular spectrum analysis for quantifying gene expression, with application to the early zebrafish embryo A Shlemov, N Golyandina, D Holloway, A Spirov BioMed research international 2015, 2015 | 13 | 2015 |
| Semi-nonparametric singular spectrum analysis with projection N Golyandina, A Shlemov arXiv preprint arXiv:1507.05286, 2015 | 13 | 2015 |
| Rssa: A collection of methods for singular spectrum analysis A Korobeynikov, A Shlemov, K Usevich, N Golyandina R package version 0.13-1, URL http://CRAN. R-project. org/package= Rssa, 2015 | 13 | 2015 |
| NPS: scoring and evaluating the statistical significance of peptidic natural product–spectrum matches AM Tagirdzhanov, A Shlemov, A Gurevich Bioinformatics 35 (14), i315-i323, 2019 | 7 | 2019 |
| Rssa: A collection of methods for singular spectrum analysis, 2015 A Korobeynikov, A Shlemov, K Usevich, N Golyandina R package version 0.13, 2016 | 7 | 2016 |
| Two-exponential models of gene expression patterns for noisy experimental data T Alexandrov, N Golyandina, D Holloway, A Shlemov, A Spirov Journal of Computational Biology 25 (11), 1220-1230, 2018 | 6 | 2018 |
| MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities. Cell Systems. 2019; 9 (6 … L Cao, A Gurevich, KL Alexander, CB Naman, T Leão, E Glukhov, ... | 6 | |
| Intelligent Identification of Trend Components in Singular Spectrum Analysis N Golyandina, P Dudnik, A Shlemov Algorithms 16 (7), 353, 2023 | 4 | 2023 |
| MetaRiPPquest: A Peptidogenomics Approach for the Discovery of Ribosomally Synthesized and Post-translationally Modified Peptides H Mohimani, A Gurevich, KL Alexander, CB Naman, T Leao, E Glukhov, ... bioRxiv, 227504, 2017 | 4 | 2017 |
| Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Datasets. A Shlemov, S Bankevich, A Bzikadze, Y Safonova, PA Pevzner RECOMB, 396-397, 2017 | 2 | 2017 |