sgRNAble is a tool for high-throughput design of sgRNA libraries targeting selected genes or whole genomes, while considering both on-target binding potential and off-target effects of a given sgRNA in a user-defined genome.
sgrnable -t TARGET_SEQUENCE.fasta -g GENOME_SEQUENCE.fasta
[GENOME_SEQUENCE.fasta ...] [-a AZIMUTH_CUTOFF]
[-c COPY_NUMBER [COPY_NUMBER ...]]
[-o OUTPUT_DIR] [-p PURPOSE]
[-th NUM_THREADS] [-m MAX_MEMORY] [-v]
All documentation for the current release is accessible through the sgRNAble wiki.
Need something? Please contact Professor Steven Hallam and Avery Noonan at: [email protected] and [email protected]
Farasat, I., & Salis, H. M. (2016). A Biophysical Model of CRISPR/Cas9 Activity for Rational Design of Genome Editing and Gene Regulation. PLOS Computational Biology, 12(1), e1004724. doi:10.1371/journal.pcbi.1004724
Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., . . . Root, D. E. (2016). Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Nature biotechnology, 34(184). doi:10.1038/nbt.3437