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trome、trEST和trGEN：预测蛋白质序列数据库。

trome, trEST and trGEN: databases of predicted protein sequences.

作者信息

Sperisen Peter, Iseli Christian, Pagni Marco, Stevenson Brian J, Bucher Philipp, Jongeneel C Victor

机构信息

Swiss Institute of Bioinformatics, Ludwig Institute for Cancer Research, Chemin des Boveresses 155, 1066 Epalinges s/Lausanne, Switzerland.

出版信息

Nucleic Acids Res. 2004 Jan 1;32(Database issue):D509-11. doi: 10.1093/nar/gkh067.

DOI:10.1093/nar/gkh067
PMID:14681469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC308801/
Abstract

We previously introduced two new protein databases (trEST and trGEN) of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Here, we present the updates made on these two databases plus a new database (trome), which uses alignments of EST data to HTG or full genomes to generate virtual transcripts and coding sequences. This new database is of higher quality and since it contains the information in a much denser format it is of much smaller size. These new databases are in a Swiss-Prot-like format and are updated on a weekly basis (trEST and trGEN) or every 3 months (trome). They can be downloaded by anonymous ftp from ftp://ftp.isrec.isb-sib.ch/pub/databases.

摘要

我们之前分别推出了两个新的蛋白质数据库（trEST和trGEN），它们是根据EST序列和HTG序列预测的假设蛋白质序列数据库。在此，我们展示了对这两个数据库的更新内容，以及一个新的数据库（trome），该数据库利用EST数据与HTG或全基因组的比对来生成虚拟转录本和编码序列。这个新数据库质量更高，并且由于它以更密集的格式包含信息，所以其大小要小得多。这些新数据库采用类似Swiss-Prot的格式，每周（trEST和trGEN）或每3个月（trome）更新一次。它们可以通过匿名ftp从ftp://ftp.isrec.isb-sib.ch/pub/databases下载。

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