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Titlebook: Discovering Biomolecular Mechanisms withComputational Biology; Frank Eisenhaber Book 2006 Springer-Verlag US 2006 Amino acid.DNA.Nucleotid

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Diversifikation durch strategische Allianzending regions, contributes to phenotypic variation. However, much of the variation in coding regions may not produce any functional effects. There are two broad strategies for classifying polymorphism as functional or neutral: sequence-based methods predict functional significance based on conservati
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Diversifikation durch Unternehmenskaufotein-protein interactions, and others, are rapidly accumulating. Numerous attempts were made by many groups to examine connections between these properties and quantitative measures of gene evolution. The questions addressed pertain to the most fundamental aspects of biology: what determines the ef
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Frank EisenhaberContributors examine how sequence analysis becomes even more powerful if it is combined with automated scientific text mining (for the prediction of gene function and gene-disease association), with t
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Molecular Biology Intelligence Unithttp://image.papertrans.cn/e/image/281013.jpg
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Introductionortant questions. Currendy, theoretical methods have best chances to contribute to new biological insight independently of experiments in the area of genome text interpretation and especially for gene function prediction. Experimental studies can help progress in the development of theoretical metho
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Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) Contextt-based function prediction provide complementary information about a protein’s function and can becombined to make predictions that are specific enough for experimental testing. Here we discuss the genomic coverage and reliability of combining genomics data for protein function prediction and surve
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