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

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发表于 2025-3-21 16:26:10 | 显示全部楼层 |阅读模式
书目名称Computational Medicine
副标题Tools and Challenges
编辑Zlatko Trajanoski
视频video
概述Shows 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
图书封面Titlebook: Computational Medicine; Tools and Challenges Zlatko Trajanoski Book 2012 Springer-Verlag Wien 2012 computational medicine
描述.Computational methodologies and modeling play a growing role for investigating mechanisms, and for the diagnosis and therapy of human diseases. This progress gave rise to computational medicine, an interdisciplinary field at the interface of computer science and medicine. The main focus of computational medicine lies in the development of data analysis methods and mathematical modeling as well as computational simulation techniques specifically addressing medical problems. In this book, we present a number of computational medicine topics at several scales: from molecules to cells, organs, and organisms. At the molecular level, tools for the analysis of genome variations as well as cloud computing resources for medical genetics are reviewed. Then, an analysis of gene expression data and the application to the characterization of microbial communities are highlighted. At the protein level, two types of analyses for mass spectrometry data are reviewed: labeled quantitative proteomics and lipidomics, followed by protein sequence analysis and a 3D structure and drug design chapter. Finally, three chapters on clinical applications focus on the integration of biomolecular and clinical d
出版日期Book 2012
关键词computational medicine
版次1
doihttps://doi.org/10.1007/978-3-7091-0947-2
isbn_softcover978-3-7091-1950-1
isbn_ebook978-3-7091-0947-2
copyrightSpringer-Verlag Wien 2012
The information of publication is updating

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Book 2012l, two types of analyses for mass spectrometry data are reviewed: labeled quantitative proteomics and lipidomics, followed by protein sequence analysis and a 3D structure and drug design chapter. Finally, three chapters on clinical applications focus on the integration of biomolecular and clinical d
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High-Throughput Characterization and Comparison of Microbial Communities,nally, different sequencing approaches ahead of the bioinformatics analysis are considered. Furthermore, the application of microbiome analysis in medical research is shown by selected medical studies..The chapter is addressed to microbial ecologists or medical researchers without or little bioinfor
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Lipidomics, Mass Spectrometry, and Bioinformatics,S data, with special emphasis on their applicability to available MS techniques. Furthermore, we discuss how the acquired measures for lipid abundance can be utilized for comparative purposes. Finally, we present both a brief overview of ongoing efforts in the establishment of a uniform lipid nomenc
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Competing Approaches in Economicsnally, different sequencing approaches ahead of the bioinformatics analysis are considered. Furthermore, the application of microbiome analysis in medical research is shown by selected medical studies..The chapter is addressed to microbial ecologists or medical researchers without or little bioinfor
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Jeremy Black,Donald M. MacRaildS data, with special emphasis on their applicability to available MS techniques. Furthermore, we discuss how the acquired measures for lipid abundance can be utilized for comparative purposes. Finally, we present both a brief overview of ongoing efforts in the establishment of a uniform lipid nomenc
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Jeremy Black,Donald M. MacRaildom 3D structural data. Recently designed approaches for structure-based annotations, computational docking, 3D structure-based virtual screening, and interactome analysis are described, with particular accent on the advances over previous methods and on their intrinsic limitations. Few practical exa
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