Progress in evolutionary genomics is tightly coupled with the development of new technologies to collect high-throughput data.
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。
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.
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。
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.
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。
Recent social genomics studies suggest that not only our productivity, but also our evolutionary capacity to connect with others is diminished by digital overload.
最近的社会基因研究显示，数字过载不仅降低了我们的生产力，还削弱了我们进化出的与他人交流的能力。
Recent social genomics studies suggest that not only our productivity, but also our evolutionary capacity to connect with others is diminished by digital overload.
最近的社会基因研究显示，数字过载不仅降低了我们的生产力，还削弱了我们进化出的与他人交流的能力。
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