在进化基因组学的进展紧密结合，新技术的开发，收集高吞吐量的数据。
Progress in evolutionary genomics is tightly coupled with the development of new technologies to collect high-throughput data.
以比较基因组学为研究手段，细菌进化基因组学可从基因组水平深入认识物种分化、生境适应、毒力进化、耐药性产生蔓延等表型进化过程。
It is the time to call for evolutionary genomics which probe into bacterial diversity, niche adaptation, virulence evolution, and drug resistance from the view of whole genome.
有了计算机的帮助，基因组学的研究人员能够预测基因的位置，并且比较两种基因组，比如黑猩猩与人类的基因组，以确定对进化具有重要意义的基因序列——进而获得关于基因组如何工作的新见解。
With their help, genomics researchers predict gene locations and compare, say, chimp and human genomes to identify sequences of evolutionary importance-deriving new insights about how genomes work.
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