Reconstruction and Annotation of Transcribed Sequences in Plants

基因组研究所（TIGR）获得了一笔赠款，用于扩大和继续发展TIGR植物基因指数（http://www.tigr.org/tdb/tgi.shtml）。表达序列标签（EST）的测序提供了许多生物体转录序列收集的第一眼，并且通过对EST数据的彻底分析可以获得重要的附加信息。目前共有60余种，其中植物19种，动物22种，原生生物13种，真菌7种。该项目的继续将允许TIGR继续向社区提供这些数据库和资源（免费），并继续开发其他功能，以增强目前提供的注释，包括snp的识别，用于微阵列的70 mer序列集合的预测，以及创建植物版本的Resourcer工具。这些数据库是使用高度精炼和精确的计算协议产生的，旨在重建数据所代表的转录本，为这些重建的序列分配初步注释，将它们映射到越来越多的完全测序的基因组，并识别同源基因。结果通过一个易于访问的网络界面提供，并提供额外的分析，包括鉴定推定的同源基因。因此，TGIR指数为研究界提供了宝贵的资源，并为NSF和其他联邦机构资助的许多正在进行的项目提供了ESTs分析。

0338709 Quackenbush The Institute for Genomic Research (TIGR) has been awarded a grant to expand and continue development of the TIGR Plant Gene Indices (http://www.tigr.org/tdb/tgi.shtml). Sequencing of Expressed Sequence Tags (ESTs) has provided a first glimpse of the collection of transcribed sequences in many organisms, and significant additional information can be obtained by a thorough analysis of the EST data. The total indices currently represent more than 60 species: 19 plant species, 22 animal species, 13 protists, and 7 fungal species. The continuation of this project will allow TIGR to continue to provide these databases and resources to the community (free of charge) and to continue development of additional features that will enhance the annotation currently provided, including the identification of SNPs, prediction of a collection of 70-mer sequences for microarrays, and the creation of a plant version of the Resourcer tool. These databases are produced using highly refined and accurate computational protocols designed to reconstruct transcripts represented by the data, to assign preliminary annotation to those reconstructed sequences, to map them to an increasing number of completely sequenced genomes, and to identify orthologous genes. The results are provided through an easily accessible web-interface and that presents additional analysis, including the identification of putative orthologous genes. As such, the TGIR indices provide a valuable resource for the research community and providing analysis of ESTs for many ongoing projects funded by the NSF and other federal agencies.