Optimising ddRAD sequencing for population genomic studies with ddgRADer
Aparna Lajmi, Felix Glinka, Eyal Privman
The paper develops ddgRADer, a webtool to optimize ddRADseq experimental design for population genomics by predicting sequencing efficiency and recommending enzyme pairs.