一种用于表达序列标签（EST）序列分析的优化方案。
An optimized protocol for analysis of EST sequences.
作者信息
Liang F, Holt I, Pertea G, Karamycheva S, Salzberg S L, Quackenbush J
机构信息
The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA.
出版信息
Nucleic Acids Res. 2000 Sep 15;28(18):3657-65. doi: 10.1093/nar/28.18.3657.
Abstract
The vast body of Expressed Sequence Tag (EST) data in the public databases provide an important resource for comparative and functional genomics studies and an invaluable tool for the annotation of genomic sequences. We have developed a rigorous protocol for reconstructing the sequences of transcribed genes from EST and gene sequence fragments. A key element in developing this protocol has been the evaluation of a number of sequence assembly programs to determine which most faithfully reproduce transcript sequences from EST data. The TIGR Gene Indices constructed using this protocol for human, mouse, rat and a variety of other plant and animal models have demonstrated their utility in a variety of applications and are freely available to the scientific research community.
摘要
公共数据库中大量的表达序列标签（EST）数据为比较基因组学和功能基因组学研究提供了重要资源，也是注释基因组序列的宝贵工具。我们已经开发出一套严格的方案，用于从EST和基因序列片段中重建转录基因的序列。制定该方案的一个关键因素是对多个序列组装程序进行评估，以确定哪个程序能最忠实地从EST数据中重现转录本序列。使用该方案构建的人类、小鼠、大鼠以及多种其他动植物模型的TIGR基因索引，已在各种应用中证明了其效用，并且可供科研界免费使用。
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