Improving CRISPR guide design with consensus approaches

BMC Genomics

Table 7 Tools selected in this study

Tool	Availability	Approach	Language	Training Dataset
Cas-Designer (8 May 2018)	Tool website	Procedural	Python
mm10 CRISPR Database (92d208c)	GitHub	Procedural	Python / C
PhytoCRISP-Ex (v1.0)	Tool website	Procedural	Perl / Bash
WU-CRISPR (7107166)	GitHub	ML	Perl	Doench
sgRNA Scorer 2.0	Tool website	ML	Python	Other
FlashFry (2 July 2018)	GitHub	ML	Java	Doench and one other
TUSCAN (offline edition - 24 January 2019)	By request	ML	Python	Doench and four others
SSC (v0.1)	Sourceforge	ML	C	Wang and four others
CHOPCHOP (384743c)	BitBucket	Both	Python	Wang or Doench or other

ML is Machine Learning; TUSCAN and SSC combined the listed training datasets as one; CHOPCHOP and FlashFry provide each of the listed efficacy scoring models; CHOPCHOP offers efficacy scoring via a procedural approach. The italicised text in the ‘Tool’ column is the git hash to identify which version of the tool was used. Similarly, for the date obtained or version number indicated

ISSN: 1471-2164