| Long-term impact of fecal transplantation in healthy volunteers OV Goloshchapov, EI Olekhnovich, SV Sidorenko, IS Moiseev, MA Kucher, ... BMC microbiology 19, 1-13, 2019 | 75 | 2019 |
| 16S rRNA gene sequencing data of the upper respiratory tract microbiome in the SARS-CoV-2 infected patients J Galeeva, V Babenko, R Bakhtyev, V Baklaushev, L Balykova, ... Data in Brief 40, 107770, 2022 | 6 | 2022 |
| Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy EI Olekhnovich, AB Ivanov, AA Babkina, AA Sokolov, VI Ulyantsev, ... Msystems 8 (2), e01023-22, 2023 | 5 | 2023 |
| Genome Complexity Browser: Visualization and quantification of genome variability A Manolov, D Konanov, D Fedorov, I Osmolovsky, R Vereshchagin, E Ilina PLoS computational biology 16 (10), e1008222, 2020 | 4 | 2020 |
| Microbial communities of the upper respiratory tract in mild and severe COVID-19 patients: a possible link with the disease course JS Galeeva, EV Starikova, DE Fedorov, AI Manolov, AV Pavlenko, ... Frontiers in Microbiomes 2, 17, 2023 | 3 | 2023 |
| Gut Microbiome as a Predictor of the Anti-PD-1 Therapy Success: Metagenomic Data Analysis DE Fedorov, AV Pavlenko, EI Olekhnovich, KM Klimina, IA Pokataev, ... Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry 15 (2), 161-165, 2021 | 3 | 2021 |
| Intestinal microbiome as a predictor of the anti-PD-1 therapy success: metagenomic data analysis DE Fedorov, EI Olekhnovich, AV Pavlenko, KM Klimina, IA Pokataev, ... Biomeditsinskaia Khimiia 66 (6), 502-507, 2020 | 3 | 2020 |
| Intestinal microbiom modulates the response to antitumor immunotherapy EI Olekhnovich, AI Manolov, AV Pavlenko, DN Konanov, DE Fedorov, ... Biomeditsinskaya khimiya 66 (1), 54-63, 2020 | 3 | 2020 |
| An improved and extended dual-index multiplexed 16S rRNA sequencing for the Illumina HiSeq and MiSeq platform AK Larin, KM Klimina, VA Veselovsky, EI Olekhnovich, MD Morozov, ... BMC Genomic Data 25 (1), 1-7, 2024 | 2 | 2024 |
| Snapper: high-sensitive detection of methylation motifs based on Oxford Nanopore reads DN Konanov, VV Babenko, AM Belova, AG Madan, DI Boldyreva, ... Bioinformatics 39 (11), btad702, 2023 | | 2023 |
| Bayesian compositional regression with microbiome features via variational inference DAV Scott, E Benavente, J Libiseller-Egger, D Fedorov, J Phelan, E Ilina, ... BMC bioinformatics 24 (1), 210, 2023 | | 2023 |
| Snapper: a high-sensitive algorithm to detect methylation motifs based on Oxford Nanopore reads DN Konanov, VV Babenko, AM Belova, AG Madan, DI Boldyreva, ... bioRxiv, 2022.11. 15.516621, 2022 | | 2022 |
| Composition of oropharyngeal microbiota in patients with COVID-19 of different pneumonia severity EV Starikova, JS Galeeva, DN Andreev, PS Sokolov, DE Fedorov, ... Terapevticheskii arkhiv 94 (8), 963-972, 2022 | | 2022 |
| Reproducible stool metagenomic biomarkers linked to the melanoma immunotherapy positive outcome EI Olekhnovich, AB Ivanov, AA Babkina, AA Sokolov, VI Ulyantsev, ... bioRxiv, 2022.04. 01.486538, 2022 | | 2022 |
| Automatic identification of contaminating sequences in amplicon sequencing data D Fedorov, J Galeeva, A Manolov, K Klimina, V Veselovsky, A Pavlenko, ... Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB …, 2022 | | 2022 |
| Character of Microbial Engraftment Following the Fecal Microbiota Transplantation in Patients with Inflammatory Bowel Diseases EI Olekhnovich, TN Kalachnyuk, DE Fedorov, ES Zhgun, KM Klimina, ... | | 2021 |
| The Effect of Intestinal Microbiome on the Effectiveness of Antitumor Immunotherapy EI Olekhnovich, AI Manolov, AV Pavlenko, DN Konanov, DE Fedorov, ... Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry 14, 241-251, 2020 | | 2020 |
