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Bioinformatics
Article . 2016 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 2017
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Article . 2016
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CRISPR-DO for genome-wide CRISPR design and optimization

Authors: Jian Ma; Johannes Köster; Qian Qin; Shengen Hu; Wei Li 0035; Chenhao Chen; Qingyi Cao; +5 Authors

CRISPR-DO for genome-wide CRISPR design and optimization

Abstract

Abstract Motivation: Despite the growing popularity in using CRISPR/Cas9 technology for genome editing and gene knockout, its performance still relies on well-designed single guide RNAs (sgRNA). In this study, we propose a web application for the Design and Optimization (CRISPR-DO) of guide sequences that target both coding and non-coding regions in spCas9 CRISPR system across human, mouse, zebrafish, fly and worm genomes. CRISPR-DO uses a computational sequence model to predict sgRNA efficiency, and employs a specificity scoring function to evaluate the potential of off-target effect. It also provides information on functional conservation of target sequences, as well as the overlaps with exons, putative regulatory sequences and single-nucleotide polymorphisms (SNPs). The web application has a user-friendly genome–browser interface to facilitate the selection of the best target DNA sequences for experimental design. Availability and Implementation: CRISPR-DO is available at http://cistrome.org/crispr/ Contact: qiliu@tongji.edu.cn or hanxu@jimmy.harvard.edu or xsliu@jimmy.harvard.edu Supplementary information: Supplementary data are available at Bioinformatics online.

Related Organizations
Keywords

Gene Editing, Genome, Computational Biology, DNA, Exons, RNA, Guide, CRISPR-Cas Systems, Mice, Animals, Humans, Clustered Regularly Interspaced Short Palindromic Repeats

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
gold