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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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Julia Mareike Neles,Christoph Pistneronal 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; Bittner et al. 2000; Perou et al. 2000; Ross et al. 2000).
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Statistical Methods for Analyzing Gene Expression Data for Cancer Research,onal 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; Bittner et al. 2000; Perou et al. 2000; Ross et al. 2000).
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Bioinformatics of Membrane Proteins,r predicting the topology of membrane proteins, and for modeling their 3D structure when no homologues with know structure are known. For more thorough reviews of the membrane protein field, see, e.g., von Heijne (1999, 2000).
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Promoter Analysis,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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Construction and Prediction of Protein-Protein Interaction Maps,al insights on characterized as well as yet unannotated proteins, along with an information base for the identification of biological complexes and metabolic or signal transduction pathways (for review, see Walhout and Vidal 2001).
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Bioinformatics, Cellular Flows, and Calculation,espect 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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