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CleanEST: a database of cleansed EST libraries

机译:CleanEST:清理过的EST库的数据库

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摘要

The EST division of GenBank, dbEST, is widely used in many applications such as gene discovery and verification of exon–intron structure. However, the use of EST sequences in the dbEST libraries is often hampered by inconsistent terminology used to describe the library sources and by the presence of contaminated sequences. Here, we describe CleanEST, a novel database server that classified dbEST libraries and removes contaminants. We classified all dbEST libraries according to species and sequencing center. In addition, we further classified human EST libraries by anatomical and pathological systems according to eVOC ontologies. For each dbEST library, we provide two different cleansed sequences: ‘pre-cleansed’ and ‘user-cleansed’. To generate pre-cleansed sequences, we cleansed sequences in dbEST by alignment of EST sequences against well-known contamination sources: UniVec, Escherichia coli, mitochondria and chloroplast (for plant). To provide user-cleansed sequences, we built an automatic user-cleansing pipeline, in which sequences of a user-selected library are cleansed on-the-fly according to user-selected options. The server is available at and the database is updated monthly.
机译:GenBank的EST部门dbEST被广泛用于许多应用中,例如基因发现和外显子-内含子结构验证。但是,dbEST文库中EST序列的使用通常因描述文库来源的术语不一致以及受污染序列的存在而受到阻碍。在这里,我们描述CleanEST,这是一种新颖的数据库服务器,它对dbEST库进行了分类并清除了污染物。我们根据物种和测序中心对所有dbEST库进行了分类。此外,我们根据eVOC本体论通过解剖学和病理学系统对人类EST文库进行了进一步分类。对于每个dbEST库,我们提供两个不同的清理序列:“预清理”和“用户清理”。为了生成预先清洗的序列,我们通过将EST序列与众所周知的污染源(UniVec,大肠杆菌,线粒体和叶绿体(用于植物))进行比对来清洗dbEST中的序列。为了提供用户清洗的序列,我们构建了一个自动用户清洗管道,其中根据用户选择的选项即时清洗用户选择的库的序列。服务器可在处使用,数据库每月更新一次。

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