Titlebook: Computational Medicine; Tools and Challenges Zlatko Trajanoski Book 2012 Springer-Verlag Wien 2012 computational medicine

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Zlatko TrajanoskiShows the connection from basic bioinformatics to application in biological as well as therapeutic questions.Gives insight into state-of-the-art IT solutions for application in medicine.Written by a e

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https://doi.org/10.1007/978-0-230-21342-5cleotide polymorphisms (SNPs) and even large-scale genome resequencing. However, the inference of biological significance to association and mutation screening studies for complex diseases remains challenging and requires a sound knowledge about available bioinformatic data resources. The effects of

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Competing Approaches in Economicsn body are still poorly understood. The recent introduction of next-generation sequencing technologies allows for the first time an unbiased and in-depth characterization of a microbiome based on the sequence of certain marker genes. However, analysis of the huge amount of sequence data generated in

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Jeremy Black,Donald M. MacRailds spectrometers measure mass spectra of peptides on the basis of which software packages can infer protein detection. By tagging proteins from distinct samples with heavy and light mass labels, relative protein abundances in different conditions are compared, e.g., healthy versus diseased individual

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Jeremy Black,Donald M. MacRaildracting enormous interest in science, since it delivers information complementary to genomics and proteomics. This uptrend was triggered by progress in mass spectrometry; however, the burgeoning of lipidomics as a major area of research started relatively late compared to that of proteomics. A major

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Jeremy Black,Donald M. MacRaildat can be translated into protein sequences. This review considers the different concepts applicable to sequence analysis and function prediction of globular and non-globular protein segments. The publicly accessible ANNOTATOR software environment integrates most of the reliable protein sequence-bas

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