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The exponential accumulation of genomic sequence data demands systematic analysis of genetic information and requires use of various computational approaches to handle such huge sets of genomic data. Comparative genomics, with such organized data and diverse computational techniques, has become useful not only for finding common features in different genomes, but also for understanding evolutionary process and mechanism among multiple genomes. We have developed high performance data mining tools of our own. With the databases and sequence analysis tools genomes can be compared. There are currently six modules: genome plot, conserved gene neighbourhood navigation, metabolic pathways, comparative sequence clustering analysis, putative gene fusion events detection, and multiple genome alignment. A set of genomes selected by users is submitted with parameter settings via Web interface.