Key result
The CRISPRloci server provides a comprehensive web interface integrating machine learning tools to accurately predict, define, and annotate CRISPR arrays, leaders, and cas genes in prokaryotes.
CRISPRloci provides a comprehensive web server for the accurate prediction, annotation, and assessment of CRISPR-Cas systems in prokaryotes.
Enables prokaryotic CRISPR annotation; leaves open validation before any clinical or cardiovascular research use.
CRISPR-Cas systems are adaptive immune systems in prokaryotes, providing resistance against invading viruses and plasmids. The identification of CRISPR loci is currently a non-standardized, ambiguous process, requiring the manual combination of multiple tools, where existing tools detect only parts of the CRISPR-systems, and lack quality control, annotation and assessment capabilities of the detected CRISPR loci. Our CRISPRloci server provides the first resource for the prediction and assessment of all possible CRISPR loci. The server integrates a series of advanced Machine Learning tools within a seamless web interface featuring: (i) prediction of all CRISPR arrays in the correct orientation; (ii) definition of CRISPR leaders for each locus; and (iii) annotation of cas genes and their unambiguous classification. As a result, CRISPRloci is able to accurately determine the CRISPR array and associated information, such as: the Cas subtypes; cassette boundaries; accuracy of the repeat structure, orientation and leader sequence; virus-host interactions; self-targeting; as well as the annotation of cas genes, all of which have been missing from existing tools. This annotation is presented in an interactive interface, making it easy for scientists to gain an overview of the CRISPR system in their organism of interest. Predictions are also rendered in GFF format, enabling in-depth genome browser inspection. In summary, CRISPRloci constitutes a full suite for CRISPR-Cas system characterization that offers annotation quality previously available only after manual inspection.
No takes yet. Share an insight, caveat, or question.
Alkhnbashi et al. (2021) studied CRISPR-Cas systems in prokaryotes. CRISPRloci server vs. existing tools was evaluated on Prediction, definition, and annotation of CRISPR loci. The CRISPRloci server provides a comprehensive web interface integrating machine learning tools to accurately predict, define, and annotate CRISPR arrays, leaders, and cas genes in prokaryotes.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: