美国癌症研究所在1996年发起了癌肿基因组解剖计划(CGAP),其目的在于创建一系列工具以获知与肿瘤相关的基因、蛋白质及其它生物标记物。近年来,生物信息技术的发展为其计划的实施提供了丰富的生物信息资源。常用的生物信息技术有:表达序列标签(EST)、Un igene、基因表达系列分析(SAGE)和数字化差异表达(DDD),四种方法各有其优势,共同成为生物信息技术的组成部分。本文综述了上述生物信息技术在CGAP中的应用,并预测了其未来的发展趋势。 The American Cancer Institute launched the Cancer Genome Anatomy Program (CGAP) in 1996 with the aim of creating a series of tools to learn about tumor-associated genes, proteins and other biomarkers. In recent years, the development of bio-information technology has provided a wealth of biological information resources for the implementation of its plan. Commonly used bioinformatics techniques include EST, Unigene, SAGE and DDD. Each of the four methods has its own advantages and together they form part of bioinformatics. This article summarizes the above applications of bioinformatics in CGAP and predicts their future trends.