Structural annotation is the foundation of all genomics as without accurate gene models understanding gene function or evolution of genes across taxa can be impeded.
结构注释是所有基因组学的基础，因为没有准确的基因模型，跨分类群理解基因功能或基因进化可能是受阻碍的。
To find unknown protein-coding genes, annotation pipelines use a combination of ab initio gene prediction and similarity to experimentally confirmed genes or proteins.
为了找出编码蛋白质的基因，注释流程结合了“从头开始的基因预测方法”和“与已知基因相似性比较”这两种方法。
In this paper, drawbacks in the annotation of gene function currently used in genomics and some strategies beneficial to the annotation of gene function are discussed.
本文综合讨论了目前基因组中基因功能注释存在的问题及解决这些问题的策略与方法。
Coupling structural and functional annotation across genomes in a comparative manner promotes more accurate annotation as well as an understanding of gene and genome evolution.
以一种比较方式进行跨基因组的联合结构注释和功能注释促进了更准确的注释以及对基因和基因组进化的一个理解。
Structural annotation is dependent on sensitive, specific computational programs and deep experimental evidence to identify gene features within genomic DNA.
结构注释依赖于敏感的、特异的计算程序和深刻的实验证据来识别基因组DNA中的基因特征。
Standard Affymetrix probe set annotation is gene-centered, i. e. probe set is precisely linked to gene, and probe set expression is interpreted as gene expression.
标准的探针集注释是以基因为中心，也就是将探针集与特定的基因关联起来，而且探针集的表达谱最终会被翻译成基因表达谱。
Standard Affymetrix probe set annotation is gene-centered, i. e. probe set is precisely linked to gene, and probe set expression is interpreted as gene expression.
标准的探针集注释是以基因为中心，也就是将探针集与特定的基因关联起来，而且探针集的表达谱最终会被翻译成基因表达谱。
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