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Titlebook: Bioinformatics; An Introductory Text Thomas Dandekar,Meik Kunz Book 20231st edition Springer-Verlag GmbH Germany, part of Springer Nature 2

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https://doi.org/10.1007/978-3-322-93579-3ecisely the signal is understood and implemented in the cell, the better the cell survives. Therefore, survival pressure already ensured that the genetic information is well coded and well transferred into various other codes. These codes can again be “cracked” by bioinformatics for good predictions, for example for sequence analysis.
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How to Better Understand Signal Cascades and Measure the Encoded Informationecisely the signal is understood and implemented in the cell, the better the cell survives. Therefore, survival pressure already ensured that the genetic information is well coded and well transferred into various other codes. These codes can again be “cracked” by bioinformatics for good predictions, for example for sequence analysis.
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Extremely Fast Sequence Comparisons Identify All the Molecules That Are Present in the Celling a lot of computing time: indexing the database (after all, you also look up this book via the table of contents much faster than by browsing through it). Besides speed, sensitivity (do I recognize all relevant entries?) and specificity (do I not get too many irrelevant entries?) are also important for a good heuristic search.
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When Does the Computer Stop Calculating?such as protein structure prediction and most network and signal computation or image processing. In general, more powerful computers, the bundling of many computer nodes (parallelisation) and application-specific chips can also directly increase computer performance, for example with omics data.
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Understand Evolution Better Applying the Computer most accurate maximum likelihood). Accompanying sequence and secondary structure analyses reveal conserved and variable regions as well as the evolution of functional domains. Most accurate phylogenetic trees require much practice and systematic comparison of all available information (e.g. alterna
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Design Principles of a Cellst responses (stress response, chemotaxis in bacteria) and especially for multicellularity. They are modelled in detail with dynamic modelling (cell differentiation, tumorigenesis, embryology, inflammatory processes, nervous system).
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