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Titlebook: Bioinformatics and the Cell; Modern Computational Xuhua Xia Book 2018Latest edition Springer Science+Business Media LLC 2018 Proteomics.DNA

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楼主: 大脑
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Innere Eigenschaften von Atomkernen,ices. How is an empirical substitution matrix compiled? How to derive transition probability and rate matrices from an empirical matrix? How to derive evolutionary distances from these matrices? Under what circumstances one may fail to obtain an evolutionary distance? These questions are addressed in detail with numerical illustrations.
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Transcriptomics and RNA-Seq Data Analysis,This chapter provides a conceptual framework for analyzing HTS data and offers numerical illustrations of solutions to both problems mentioned above. It includes examples from real data on how to compare performance of different software packages.
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Protein Substitution Model and Evolutionary Distance,ices. How is an empirical substitution matrix compiled? How to derive transition probability and rate matrices from an empirical matrix? How to derive evolutionary distances from these matrices? Under what circumstances one may fail to obtain an evolutionary distance? These questions are addressed in detail with numerical illustrations.
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Streuprozesse und Kernreaktionen,tion of ., a bacterial gastric pathogen. Two research questions are addressed. How did . acquire its proteins with extraordinarily high pI? Are these proteins with high pI contribute to acid resistance of the pathogen? A detailed genomic analysis illustrates the hypothesis-testing approach in science.
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Innere Eigenschaften von Atomkernen,kground mutation bias (Index of Translation Elongation) is presented and contrasted with codon adaptation index (CAI) which does not consider background mutation bias. They are used to re-analyze data from a recent paper claiming that translation elongation efficiency matters little in protein production. The reanalysis disproves the claim.
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Sequence Alignment,he effect of purifying selection on substitution patterns is discussed. Also discussed are pros and cons of representing internal sequences by a profile or by a reconstructed sequence in multiple sequence alignment.
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