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Algorithms on Strings, Trees and Sequences:
Algorithms on Strings, Trees and Sequences:

Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology by Dan Gusfield

Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology



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Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology Dan Gusfield ebook
ISBN: 0521585198, 9780521585194
Page: 550
Format: djvu
Publisher: Cambridge University Press


Kazutaka Katoh talks with ScienceWatch.com and answers a few questions about this month's Fast Breaking Paper in the field of Computer Science. This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists. Cell Biology (5219) Plant Sciences (1658) A central computational problem in this field is the construction of a likely phylogeny (genealogical tree) for a set of species based on observed differences in the phenotype, differences in the genotype, or given partial phylogenies. Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology Download eBook Online. Therefore, proteins are again regarded as strings consisting of 20 alphabet letters. A sequence alignment provides a basis of various molecular biological analyses and experiments, such as phylogenetic tree inference, structure prediction, etc. Ideally, one would like to construct The computation of phylogenies also has applications in seemingly unrelated areas such as genomic sequencing and finding and understanding genes. In the second part evolutionary time takes center stage a number of key concepts developed by the authors. Fast Breaking Paper Comments by Kazutaka Katoh in the field of Computer Science. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models.

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