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  Bioinformatics for Evolutionary Biologists: a problems approach

Haubold, B., & Börsch-Haubold, A. (2023). Bioinformatics for Evolutionary Biologists: a problems approach (2). Cham: Springer. doi:10.1007/978-3-031-20414-2.

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 Creators:
Haubold, Bernhard1, Author           
Börsch-Haubold, Angelika, Author
Affiliations:
1Research Group Bioinformatics, Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445644              

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 Abstract: Discusses fundamental aspects of sequence analysis with special emphasis on evolutionary biology

Covers the material exclusively through 810 computer problems to enable learning by doing

Contains over 50 programs that are provided as source code for further study

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Language(s): eng - English
 Dates: 2023-02-032023
 Publication Status: Issued
 Pages: IX, 411
 Publishing info: Cham : Springer, 2
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-3-031-20413-5
ISBN: 978-3-031-20414-2
DOI: 10.1007/978-3-031-20414-2
 Degree: -

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