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Titlebook: Bioinformatics and Genome Analysis; H.-W. Mewes,H. Seidel,B. Weiss Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Expr

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Die Kernenergie als Herausforderung,ince intermediate results of in silico annotation are often being used to enhance contig assembly. Therefore, it is essential to develop computer algorithms that can recognize genes and gene features. In order to understand biological functions of genes, it will be especially important to elucidate
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https://doi.org/10.1007/978-3-7091-5117-4espect to the catalytic mechanisms. Proteins in distinct organisms are surprisingly homologous, reflecting considerable hysteresis in biological evolution; solutions of catalytic problems are only found once and then further copied. Appreciable similarities occur in the development and anatomy of di
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Bioinformatics of Membrane Proteins, genome-wide data sets, to predict as much as possible about their structure, and to predict as much as possible about their function. Function prediction will not be further treated here since the methods used (sequence alignments, phylogenetic profiles) are not particular to membrane proteins. The
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Cluster Analysis and Its Applications to Gene Expression Data,medical research. They enable, for the first time, a global, simultaneous view on the transcription levels of many thousands of genes, when the cell undergoes specific processes and in certain conditions. For several organisms, the sequences of all genes are available, and thus, transcript levels of
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Statistical Methods for Analyzing Gene Expression Data for Cancer Research,et al. 1997; Lipshutz et al. 1999; Shalon et al. 1996). This unique power has opened the way for new experimental designs that explore the transcriptional profile of cancer and other complex diseases (Alon et al. 1999; Golub et al. 1999; Perou et al. 1999; Schummer et al. 1999; Alizadeh et al. 2000;
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