Efficient computation reveals rare CRISPR–Cas systems

IF 39.1 1区 生物学 Q1 GENETICS & HEREDITY
Henry Ertl
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引用次数: 0

Abstract

A study published in Science develops an efficient mining algorithm to identify and then experimentally characterize many rare CRISPR systems.

Abstract Image

高效计算揭示了罕见的 CRISPR-Cas 系统。
发表在《科学》(Science)杂志上的一项研究开发了一种高效的挖掘算法,用于识别许多罕见的 CRISPR 系统,然后通过实验确定其特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Reviews Genetics
Nature Reviews Genetics 生物-遗传学
CiteScore
57.40
自引率
0.50%
发文量
113
审稿时长
6-12 weeks
期刊介绍: At Nature Reviews Genetics, our goal is to be the leading source of reviews and commentaries for the scientific communities we serve. We are dedicated to publishing authoritative articles that are easily accessible to our readers. We believe in enhancing our articles with clear and understandable figures, tables, and other display items. Our aim is to provide an unparalleled service to authors, referees, and readers, and we are committed to maximizing the usefulness and impact of each article we publish. Within our journal, we publish a range of content including Research Highlights, Comments, Reviews, and Perspectives that are relevant to geneticists and genomicists. With our broad scope, we ensure that the articles we publish reach the widest possible audience. As part of the Nature Reviews portfolio of journals, we strive to uphold the high standards and reputation associated with this esteemed collection of publications.
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