Titlebook: Bioinformatics; An Introduction Jeremy Ramsden Textbook 20153rd edition Springer-Verlag London Ltd., part of Springer Nature 2015 Algorithm

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叢林

Excise

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Kodierung topographischer Informationenovers the fundamentals of information, starting with the very basic concept of variety, and developing the notion of constraint. Key elements of information theory are introduced, such as form and content, the generation of information by observation and experiment, conditional and unconditional inf

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Studien zur Gebrauchstauglichkeitmation, transmitting it through a channel, the addition of noise and, finally, receiving and decoding the information. Biological coding is introduced through the examples of DNA, RNA and proteins. Further topics dealt with include the compression of information (and its use to measure distance), er

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Chromosomal Evolution of Parasitic Wasps,s of distributions are reviewed. The theory of runs (successions of similar events preceded and succeeded by different events), which is useful for analysing nucleic acid sequences and series of events, is reviewed, and it leads naturally onto the hypergeometric distribution. The chapter then moves

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Karyotypes of Parasitic Hymenoptera concerning purported regularities, it is of fundamental importance to master randomness—in so far as it can in principle be mastered. The chapter then moves on to random processes, and the powerful approach of the Markov chain. That leads naturally into consideration of random walks. Noise, already