自1979年确定了肝炎病毒基因组序列后，基因组学方面有什么新的发现吗？
The hepatitis genome was sequenced in 1979. What has genomics found since?
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.
因此它被广泛地用作序列描述与注释、系统发生、基因组学、转录组学和蛋白质组学研究的一个起始步骤。
It is thus widely used as an initial step for sequence characterization and annotation, phylogeny, genomics, transcriptomics, and proteomics studies.
比较基因组学的方法：基因组对应、基因识别和调控特征序列的发现〉。 《计算生物学杂志》，11卷， 第2-3期（2004年）： 319-55页。
Kellis, M. , et al. "Methods in comparative genomics: genome correspondence, gene identification and regulatory motif discovery. " Journal of Computational Biology 11, no. 2-3 (2004): 319-55.
搜索结果通常被用于各种功能基因组学和比较基因组学任务，例如注释未知序列，研究基因模型和比较两个序列集合。
The search results are commonly adopted for various functional and comparative genomics tasks such as annotating unknown sequences, investigating gene models and comparing two sequence sets.
借助比较基因组学、模拟分析和具体试验，快速获取直向同源序列结构和功能信息。
The objective of this study is to efficiently obtain the structural and functional information of orthologs .
比较基因组学的研究发现： 人类基因组中约5%的序列受到选择压力的限制， 但编码序列只占其中很小一部分， 约3.5%是保守、非编码序列。
Study of comparative genomics has revealed that about 5% of the human genome are under purifying selection, 3.5% of which are conserved non-coding elements (CNEs).
例如，在宏基因组学中的应用通常依赖于准确的序列信息，对流动值的访问对预测错误概率是重要的。
Applications, e. g. in metagenomics, often depend on accurate sequence information, and access to flow values is important to estimate the probability of errors.
例如，在宏基因组学中的应用通常依赖于准确的序列信息，对流动值的访问对预测错误概率是重要的。
Applications, e. g. in metagenomics, often depend on accurate sequence information, and access to flow values is important to estimate the probability of errors.
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