Molecular biology is becoming increasingly data-driven, fueled by advances in genome sequencing technology and high-throughput functional experiments. Insilco comparative genomics employs powerful data-mining tools to rationalize the accumulating wealth of data and it allows to make new functional predictions as illustrated by results from our recent analyses of full genomes. These studies are insightful not only from evolutionary perspective, e.g. chicken genome, but also have direct implications for human medicine, e.g. mouse and rat genomes, and control of infectious diseases, e.g. genome of malaria mosquito. Novel approaches to global analysis of genomic data allow to recognize the orthologous genes performing the same function in the genomes, to trace evolutionary gene loss and gain reflecting species adaptation, and to reveal modes of genome rearrangements shaping our genomes.