An updated evolutionary classification of CRISPR–Cas systems KS Makarova, YI Wolf, OS Alkhnbashi, F Costa, SA Shah, SJ Saunders, ... Nature reviews microbiology 13 (11), 722-736, 2015 | 2860 | 2015 |
Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants KS Makarova, YI Wolf, J Iranzo, SA Shmakov, OS Alkhnbashi, SJJ Brouns, ... Nature Reviews Microbiology 18 (2), 67-83, 2020 | 1804 | 2020 |
CRISPRmap: an automated classification of repeat conservation in prokaryotic adaptive immune systems SJ Lange, OS Alkhnbashi, D Rose, S Will, R Backofen Nucleic acids research 41 (17), 8034-8044, 2013 | 161 | 2013 |
Freiburg RNA tools: a central online resource for RNA-focused research and teaching M Raden, SM Ali, OS Alkhnbashi, A Busch, F Costa, JA Davis, ... Nucleic acids research 46 (W1), W25-W29, 2018 | 125 | 2018 |
Characterizing leader sequences of CRISPR loci OS Alkhnbashi, SA Shah, RA Garrett, SJ Saunders, F Costa, R Backofen Bioinformatics 32 (17), i576-i585, 2016 | 100 | 2016 |
Comprehensive search for accessory proteins encoded with archaeal and bacterial type III CRISPR-cas gene cassettes reveals 39 new cas gene families SA Shah, OS Alkhnbashi, J Behler, W Han, Q She, WR Hess, RA Garrett, ... RNA biology 16 (4), 530-542, 2019 | 92 | 2019 |
CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci OS Alkhnbashi, F Costa, SA Shah, RA Garrett, SJ Saunders, R Backofen Bioinformatics 30 (17), i489-i496, 2014 | 70 | 2014 |
CRISPR-Cas bioinformatics OS Alkhnbashi, T Meier, A Mitrofanov, R Backofen, B Voß Methods 172, 3-11, 2020 | 61 | 2020 |
CRISPRidentify: identification of CRISPR arrays using machine learning approach RB Alexander Mitrofanov, Omer S Alkhnbashi, Sergey A Shmakov, Kira S ... Nucleic Acids Research, 15, 2020 | 49* | 2020 |
The role of Cas8 in type I CRISPR interference SDB Cass, KA Haas, B Stoll, OS Alkhnbashi, K Sharma, H Urlaub, ... Bioscience reports 35 (3), e00197, 2015 | 48 | 2015 |
CRISPR-Cas systems in multicellular cyanobacteria S Hou, M Brenes-Álvarez, V Reimann, OS Alkhnbashi, R Backofen, ... RNA biology 16 (4), 518-529, 2019 | 38 | 2019 |
CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems VA Padilha, OS Alkhnbashi, SA Shah, AC de Carvalho, R Backofen GigaScience 9 (6), giaa062, 2020 | 35 | 2020 |
Methanosarcina spherical virus, a novel archaeal lytic virus targeting Methanosarcina strains K Weidenbach, L Nickel, H Neve, OS Alkhnbashi, S Künzel, A Kupczok, ... Journal of Virology 91 (22), 10.1128/jvi. 00955-17, 2017 | 35 | 2017 |
Structural constraints and enzymatic promiscuity in the Cas6-dependent generation of crRNAs V Reimann, OS Alkhnbashi, SJ Saunders, I Scholz, S Hein, R Backofen, ... Nucleic Acids Research 45 (2), 915-925, 2017 | 33 | 2017 |
The nuts and bolts of the Haloferax CRISPR-Cas system I-B LK Maier, AE Stachler, J Brendel, B Stoll, S Fischer, KA Haas, TS Schwarz, ... RNA biology 16 (4), 469-480, 2019 | 30 | 2019 |
CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems OS Alkhnbashi, A Mitrofanov, R Bonidia, M Raden, VD Tran, ... Nucleic Acids Research 49 (W1), W125-W130, 2021 | 23 | 2021 |
Anti-CRISPR prediction using deep learning reveals an inhibitor of Cas13b nucleases KG Wandera, OS Alkhnbashi, H vI Bassett, A Mitrofanov, S Hauns, ... Molecular cell 82 (14), 2714-2726. e4, 2022 | 17 | 2022 |
RiboReport-benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria R Gelhausen, T Müller, SL Svensson, OS Alkhnbashi, CM Sharma, ... Briefings in Bioinformatics 23 (2), bbab549, 2022 | 15 | 2022 |
CdrS is a global transcriptional regulator influencing cell division in Haloferax volcanii Y Liao, V Vogel, S Hauber, J Bartel, OS Alkhnbashi, S Maaß, TS Schwarz, ... Mbio 12 (4), 10.1128/mbio. 01416-21, 2021 | 14 | 2021 |
Current bioinformatics tools to optimize CRISPR/Cas9 experiments to reduce off-target effects M Naeem, OS Alkhnbashi International Journal of Molecular Sciences 24 (7), 6261, 2023 | 13 | 2023 |