Algorithms and Computational Biology Lab Department of Computer Science and Engineering Engineering Building Unit II, Room 362 University of California Riverside CA 92521
Identifying Genetic Diversity in Cowpea
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.
A. Polishko, M. A. Hasan , W. Pan, Evelien M. B. Karine L. R.
Stefano L. “ThIEF: Finding Genome-wide Trajectories of
Epigenetic Marks”, WABI 2017 [accepted]
Hasan M. A. , Hasan M. K. and Mottalib M. A. “Linear Regression based Feature Selection for Microarray Data Classification”, Int. J. Data Mining and Bioinformatics , 2015, Vol 11, Issue 2, pp. 167-179