@article{Steinke2004EverE-6795,
  year={2004},
  title={EverEST : a phylogenomic EST database approach},
  number={6},
  volume={1},
  journal={Phyloinformatics},
  author={Steinke, Dirk and Salzburger, Walter and Meyer, Axel}
}

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    <dc:contributor>Meyer, Axel</dc:contributor>
    <dcterms:abstract xml:lang="eng">The use of local similarity search algorithms (e.g. BLAST) against public databases is often the preferred method of choice for screening short expressed sequence tags (EST). The need for automation of processing, similarity analyses, and annotation of ESTs is highlighted in cases when several BLAST results should be analysed in a combined approach. EverEST is a WINDOWS program that automizes database management and phylogenetic analyses of ESTs. Together with its interactive visualization tools and a variety of built-in data, EverEST effectively integrates data mining, annotation, and phylogenetic evaluation into one application. EverEST is constructed to maximize evolutionary relevant information that is contained in large amounts of DNA data while attempting to minimize computation time. The database package will be freely available at: http://www.evolutionsbiologie.unikonstanz. de/~dirk/software.htm.</dcterms:abstract>
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    <dcterms:bibliographicCitation>First publ. in: Phyloinformatics (2004). 1:6</dcterms:bibliographicCitation>
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    <dc:contributor>Salzburger, Walter</dc:contributor>
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    <dcterms:title>EverEST : a phylogenomic EST database approach</dcterms:title>
    <dc:creator>Steinke, Dirk</dc:creator>
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