Keles Research Group

Our research group is broadly interested in developing and applying statistical and computational methods  for problems arising in genome biology and computational biology. Currents specific topics are:

• Regulatory motif finding in biological sequences by utilizing multiple sources of experimental and genomic data.
• Statistical methods for analyzing data from tiling arrays: ChIP-chip, tiling expression, nucleosome occupancy , histone modification.
• Comparative genomics: statistical methods for inference of multi-species gene expression data.
• Statistical computing.
• Biostatistics.