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

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Jeremy Black,Donald M. MacRaildht the various sources for generating data with specific focus on medium- and large-scale omics approaches as well as relevant public databases. We then give an overview of the computational methods necessary to analyze primary data as well as bioinformatics tools for using databases, extracting pat

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Longitudinal and Time-Series Analysis,conductor have emerged as a standard research environment to investigate and analyze high-throughput data. Therefore, we present and discuss existing packages, available in R or Bioconductor, that provide methods for . by means of networks. In particular, we summarize packages to reconstruct and ana

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Cloud Computing,etic laboratories to the limits of data storage and computational power. Therefore, new approaches are needed to eliminate these shortcomings and provide possibilities to use current algorithms in the area of bioinformatics with improved usability. A possible starting point is cloud computing with t

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Microarray Meta-Analysis: From Data to Expression to Biological Relationships,gene function, regulation, and co-expression, to clinical use in diagnosis and prognosis. Over the last decade, a large number of microarray experiments have become available in public repositories often addressing similar or related hypotheses. The large compendia of gene expression data provide th

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