CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

BACKGROUND: CRISPR-Cas genes are extraordinarily diverse and evolve rapidly when compared to other prokaryotic genes. With the rapid increase in newly sequenced archaeal and bacterial genomes, manual identification of CRISPR-Cas systems is no longer viable. Thus, an automated approach is required fo...

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Detalles Bibliográficos
Autores principales: Padilha, Victor A, Alkhnbashi, Omer S, Shah, Shiraz A, de Carvalho, André C P L F, Backofen, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298778/
https://www.ncbi.nlm.nih.gov/pubmed/32556168
http://dx.doi.org/10.1093/gigascience/giaa062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298778/
https://www.ncbi.nlm.nih.gov/pubmed/32556168
http://dx.doi.org/10.1093/gigascience/giaa062

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