Algorithms and Computational Biology Lab
Department of Computer Science and Engineering
Engineering Building Unit II, Room 362
University of California
Riverside CA 92521
Classification of eight cancer dataset using only snp data across samples by attributed each snp being a driver/pessenger mutation charactarized by 85 features generated from SNVBox (Wong et. al. 2011).
For cowpea pan genome, need to identify a subset of samples that best represents the cowpea population. Our research is to find the feature that best represent the diversity in cowpea using the MiniCore SNP data of 384 cowpea samples collected from different region of the world.