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CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems.
GigaScience ( IF 9.2 ) Pub Date : 2020-06-17 , DOI: 10.1093/gigascience/giaa062
Victor A Padilha 1 , Omer S Alkhnbashi 2 , Shiraz A Shah 3 , André C P L F de Carvalho 1 , Rolf Backofen 2, 4
Affiliation  

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 for advancing our understanding of the evolution and diversity of these systems and for finding new candidates for genome engineering in eukaryotic models.

中文翻译:

CRISPRcasIdentifier:用于准确识别和分类 CRISPR-Cas 系统的机器学习。

与其他原核基因相比,CRISPR-Cas 基因异常多样且进化迅速。随着新测序的古菌和细菌基因组的迅速增加,手动识别 CRISPR-Cas 系统已不再可行。因此,需要一种自动化方法来促进我们对这些系统的进化和多样性的理解,并在真核模型中寻找新的基因组工程候选者。
更新日期:2020-06-17
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