Comparative Genomics   In the past decade, high-throughput sequencing technologies have made more than 900 prokaryotic genomes fully sequenced to date. The genomic structures, as well as functionalities of these sequences are urgently needed to be elucidated.   Our research interests include: Functional sequences, such as DNA regulatory motifs in promoter regions Genome structure predictions, including operons, uberoperons, genomic islands Biological network and pathway prediction and modelling Comparative genome tool and database development We design novel algorithms and apply machine learning techniques to annnotate different levels of genomic sequences.     Haplotype, SNP and Disease assosication The haplotype inference problem is a computational task to infer haplotype pairs based on the phase unknown genotypes, and is pivotal in the International Hapmap project.   We are investigating machine learning approaches to resolve haplotypes, study single nucleotide polymorphisms (SNPs), and their association with diseases. Last Updated ( Thuesday, 28 October 2008 )