Comparative analysis of prokaryotic communities associated with organic and conventional farming systems E Pershina, J Valkonen, P Kurki, E Ivanova, E Chirak, I Korvigo, ... PLoS One 10 (12), e0145072, 2015 | 111 | 2015 |
Investigation of the core microbiome in main soil types from the East European plain EV Pershina, EA Ivanova, IO Korvigo, EL Chirak, NH Sergaliev, ... Science of the Total Environment 631, 1421-1430, 2018 | 69 | 2018 |
Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules I Korvigo, M Holmatov, A Zaikovskii, M Skoblov Journal of cheminformatics 10, 1-10, 2018 | 55 | 2018 |
The preservation of microbial DNA in archived soils of various genetic types EA Ivanova, IO Korvigo, BF Aparin, EL Chirak, EV Pershina, ... PLoS One 12 (3), e0173901, 2017 | 23 | 2017 |
Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies I Korvigo, A Afanasyev, N Romashchenko, M Skoblov PloS one 13 (3), e0192829, 2018 | 20 | 2018 |
Effect of long-term application of agrotechnical techniques and crops on soil microbial communities IO Korvigo, EV Pershina, EA Ivanova, NS Matyuk, OA Savos’ kina, ... Microbiology 85, 231-242, 2016 | 12 | 2016 |
Be aware of the allele-specific bias and compositional effects in multi-template PCR I Korvigo, AA Igolkina, AA Kichko, T Aksenova, EE Andronov PeerJ 10, e13888, 2022 | 1 | 2022 |
Correction: Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems EV Pershina, JPT Valkonen, P Kurki, EA Ivanova, EL Chirak, IO Korvigo, ... Plos one 11 (5), e0155155, 2016 | 1 | 2016 |
ЛЕСОРАСТИТЕЛЬНЫЙ ПОТЕНЦИАЛ ПОЧВ DH Parks, C Rinke, M Chuvochina, PA Chaumeil, BJ Woodcroft, ... ЛЕСНЫЕ ПОЧВЫ И ФУНКЦИОНИРОВАНИЕ ЛЕСНЫХ ЭКОСИСТЕМ: МАТЕРИАЛЫ VIII …, 2019 | | 2019 |
Statistical evaluation of multi-template PCR biases in microbiome data I Korvigo, EE Andronov Proceedings of the 8th International Workshop on Compositional Data Analysis …, 2019 | | 2019 |
Applying deeplearning techniques to identification of pathogenic amino acid substitutions I Reveguk, I Sosin, I Korvigo, M Skoblov Moscow Conference on Computational Molecular Biology (MCCMB 2017), 143-143, 2017 | | 2017 |
Advanced Parser for Biomedical Texts A Karazeev, M Holmatov, A Zaikovskii, I Korvigo, M Skoblov Moscow Conference on Computational Molecular Biology (MCCMB 2017), 137-137, 2017 | | 2017 |
Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems (vol 10, e0145072, 2015) EV Pershina, J Valkonen, P Kurki, EA Ivanova, EL Chirak, IO Korvigo, ... PLOS ONE 11 (5), 2016 | | 2016 |
Effect of long-term application of agrotechnical techniques and crops on soil microbial communities. E Pershina, E Andronov, I Korvigo, E Ivanova, E Chirak, N Provorov, ... Microbiology (00262617) 85 (2), 2016 | | 2016 |
The evolutionary space of bacterial 16S rRNA gene I Korvigo, E Pershina, A Igolkina, A Dolnik, G Tamazyan, Y Porozov, ... | | |