CRISPR
ADAM2
R package for identification of essential genes using genome-wide CRISPR-Cas9 screens, https://github.com/DepMap-Analytics/ADAM2.
CHOPCHOP
CHOPCHOP is a python script that allows quick and customizable design of guide RNA. We support selecting target sites for CRISPR/Cas9, CRISPR/Cpf1, TALEN and NICKASE with wide range of customization. We even support Cas13 for isoform targeting.
https://bitbucket.org/valenlab/chopchop/src/master/
CRISPOR
http://crispor.tefor.net/, design, evaluate and clone guide sequences for the CRISPR/Cas9 system.
CRISPR design
CRISPResso2
https://github.com/pinellolab/CRISPResso2
DeepSpCas9
http://deepcrispr.info/DeepSpCas9/
Kim HK, et al. (2019). SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance. Sci. Adv. 2019;5: eaax9249.
FORECasT
Scripts for processing and predicting CRISPR/Cas9-generated mutations.
https://partslab.sanger.ac.uk/FORECasT
Allen F, et al. (2019). Predicting the mutations generated by repair of Cas9-induced double-strand breaks. Nat Biotechnol 37: 64–72
GPP Web portal
https://portals.broadinstitute.org/gpp/public/analysis-tools/sgrna-design
inDelphi
inDelphi is a machine learning algorithm that is aimed to assist scientists using CRISPR.
http://indelphi.giffordlab.mit.edu/
SelfTarget
https://github.com/felicityallen/SelfTarget
SPROUT
https://zou-group.github.io/SPROUT
https://github.com/amirmohan/SPROUT
Leenay RT, et al. (2019). Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells. Nat Biotechnol