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Alexey Gurevich
Alexey Gurevich
Jun. Prof. of Bioinformatics, HIPS & Saarland University
Подтвержден адрес электронной почты в домене helmholtz-hips.de - Главная страница
Название
Процитировано
Процитировано
Год
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
A Bankevich, S Nurk, D Antipov, AA Gurevich, M Dvorkin, AS Kulikov, ...
Journal of computational biology 19 (5), 455-477, 2012
203852012
QUAST: quality assessment tool for genome assemblies
A Gurevich, V Saveliev, N Vyahhi, G Tesler
Bioinformatics 29 (8), 1072-1075, 2013
70412013
Assembling single-cell genomes and mini-metagenomes from chimeric MDA products
S Nurk, A Bankevich, D Antipov, AA Gurevich, A Korobeynikov, A Lapidus, ...
Journal of Computational Biology 20 (10), 714-737, 2013
11222013
Assembling genomes and mini-metagenomes from highly chimeric reads
S Nurk, A Bankevich, D Antipov, A Gurevich, A Korobeynikov, A Lapidus, ...
Research in Computational Molecular Biology: 17th Annual International …, 2013
778*2013
Critical assessment of metagenome interpretation—a benchmark of metagenomics software
A Sczyrba, P Hofmann, P Belmann, D Koslicki, S Janssen, J Dröge, ...
Nature methods 14 (11), 1063-1071, 2017
6962017
Feature-based molecular networking in the GNPS analysis environment
LF Nothias, D Petras, R Schmid, K Dührkop, J Rainer, A Sarvepalli, ...
Nature methods 17 (9), 905-908, 2020
6942020
Versatile genome assembly evaluation with QUAST-LG
A Mikheenko, A Prjibelski, V Saveliev, D Antipov, A Gurevich
Bioinformatics 34 (13), i142-i150, 2018
6622018
MetaQUAST: evaluation of metagenome assemblies
A Mikheenko, V Saveliev, A Gurevich
Bioinformatics 32 (7), 1088-1090, 2016
4922016
metaFlye: scalable long-read metagenome assembly using repeat graphs
M Kolmogorov, DM Bickhart, B Behsaz, A Gurevich, M Rayko, SB Shin, ...
Nature Methods 17 (11), 1103-1110, 2020
4162020
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
2292018
Dereplication of peptidic natural products through database search of mass spectra
H Mohimani, A Gurevich, A Mikheenko, N Garg, LF Nothias, A Ninomiya, ...
Nature chemical biology 13 (1), 30-37, 2017
2052017
Critical assessment of metagenome interpretation: the second round of challenges
F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ...
Nature methods 19 (4), 429-440, 2022
1542022
ExSPAnder: a universal repeat resolver for DNA fragment assembly
AD Prjibelski, I Vasilinetc, A Bankevich, A Gurevich, T Krivosheeva, ...
Bioinformatics 30 (12), i293-i301, 2014
1132014
Icarus: visualizer for de novo assembly evaluation
A Mikheenko, G Valin, A Prjibelski, V Saveliev, A Gurevich
Bioinformatics 32 (21), 3321-3323, 2016
1082016
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), 319-327, 2018
812018
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
632019
MolDiscovery: Learning mass spectrometry fragmentation of small molecules
L Cao, M Guler, A Tagirdzhanov, YY Lee, A Gurevich, H Mohimani
Nature communications 12 (1), 3718, 2021
572021
Assembling short reads from jumping libraries with large insert sizes
I Vasilinetc, AD Prjibelski, A Gurevich, A Korobeynikov, PA Pevzner
Bioinformatics 31 (20), 3262-3268, 2015
542015
TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats
A Mikheenko, AV Bzikadze, A Gurevich, KH Miga, PA Pevzner
Bioinformatics 36 (Supplement_1), i75-i83, 2020
44*2020
De novo peptide sequencing reveals many cyclopeptides in the human gut and other environments
B Behsaz, H Mohimani, A Gurevich, A Prjibelski, M Fisher, F Vargas, ...
Cell systems 10 (1), 99-108. e5, 2020
392020
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