Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2017Latest edition Springer Science+Business Media New York 2017 genotype.pheno

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High-Dimensional Profiling for Computational Diagnosise with microarrays, if all transcripts are known, or even without this restriction using high-throughput RNA sequencing. Other technologies like NMR finger printing allow for high-dimensional profiling of metabolites in blood or urine. Such technologies for high-dimensional patient profiling represe

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Compound Data Mining for Drug Discoveryurce for drug discovery in academic environments as well as in the pharmaceutical industry. To handle large volumes of heterogeneous and complex compound data and extract discovery-relevant knowledge from these data, advanced computational mining approaches are required. Herein, major public compoun

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3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Dataically improves reliability and accuracy of 3D models. This chapter discusses the use of structural information obtained from various paramagnetic NMR measurements and demonstrates computational algorithms implementing pseudocontact shifts as restraints to determine the structure of proteins at atomic resolution.

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Inferring Genome-Wide Interaction Networksnt a comparison of the performance of these algorithms using the results of our previously published studies. According to the study results, which were obtained from simulated as well as expression data sets, the inference algorithm C3NET provides consistently better results than the other widely used methods.