中文摘要：

在国际最大公共数据库GenBank的dbEST数据库中收录了大量各种生物的ESTs，这些大量的EST序列对发现、克隆和定位新基因，构建遗传图谱，开发分子标记，研究基因差异表达、功能及基因间互作是非常有价值的资源。为了充分挖掘EST数据资源所蕴含的生物学信息，掌握系统的分析方法对其研究显得尤为重要。参照目前广泛运用的多种EST数据分析软件，系统地简述了EST的序列分析方法，主要包括EST的序列分析前处理、序列的聚类拼接以及注释、功能分类，指出应根据EST数据的特征来选择合适的序列分析软件，并阐释EST技术在植物抗病基因的发现、克隆和定位研究中的应用。

英文摘要：

A large number of all kinds＇ organisms EST are collected in dbEST. ESTs is applied in many fields, such as identification and discovery of new gene, electronic cloning, construction of genetic map, molecular marker, research of differential expression of gene, function and interaction of gene. In order to mine biological information of the huge EST data resources adequately, a systematic analysis method becomes very important. Consulting some widely-used analysis program of EST data, this review systematically introduced EST se- quence analysis methods, mainly including EST sequence pre-processing, and sequence clustering, sequence assembling and sequence annotation, aiming at making advice on EST sequence analysis. This review also elucidated how to use EST technology in plant resistance research.