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Titlebook: Bioinformatics; German Conference on Ralf Hofestädt,Thomas Lengauer,Dietmar Schomburg Conference proceedings 1997 Springer-Verlag Berlin He

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https://doi.org/10.1007/978-3-7091-8370-0ly contains 1442 Genbank entries (663 are globin and 779 non-globin) which have been augmented manually and computationally. Each entry was analyzed by an expert system that corrects errors in GenBank features and generates a uniformly annotated set of features. Gene names and gene, family names wer
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https://doi.org/10.1007/978-3-663-04877-0 least 10 sequences and a simple initial model (e.g. two characteristic transcription factor binding sites). The final model is generated by computer analysis directly from the sequences. 20 Lentivirus long terminal repeats (LTRs) and an initial model consisting of only two elements (TATA box and po
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Kartelle als Produktionsfördererng their regulations as a collection of interacting subsystems. The purposes of this framework lie in facilitating model development, adaption and reuse. Additionally, the presented methodology can be seen as a first step towards the development of a common communication framework, to support the in
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https://doi.org/10.1007/978-3-658-29139-6 (RHs), STSs, microsatellites, genes and clones. It includes a rapid construction of the marker-RH map over the entire chromosome and a subsequent positioning of yeast artificial chromosome (YAC) clones from the data generated by YAC hybridization to RH filters or by probing YAC filters with the who
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https://doi.org/10.1007/978-3-658-29139-6. Given a set of sequences, this formalization asks for a phylogenetic tree and ancestral sequences such that the implied amount of change necessary to explain the given data is minimal. The problem is computationally hard and we present a heuristic algorithm for it. Our procedure mimicks agglomerat
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