Kuan, P.F. et. al. (2017) BMC Bioinformatics, 18:297 https://www.ncbi.nlm.nih.gov/pubmed/28587596
Design of sgRNAs can prove challenging due to the tendency of RNA to form complex secondary structures and different sequences imparting different thermodynamic properties. By using a machine learning approach and previous oligonucleotide design and models, Kuan et al. analyzed CRISPR datasets to create an R package, predictSGRNA, to help with sgRNA design.