Bioinformatics for Evolutionary Biologists A Problems Approach

This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research leve...

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Bibliographic Details
Main Authors: Haubold, Bernhard, Börsch-Haubold, Angelika (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Bioinformatics for Evolutionary Biologists  |h Elektronische Ressource  |b A Problems Approach  |c by Bernhard Haubold, Angelika Börsch-Haubold 
250 |a 1st ed. 2017 
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300 |a XIII, 318 p. 44 illus., 22 illus. in color  |b online resource 
505 0 |a The UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics 
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653 |a Computational and Systems Biology 
653 |a Evolutionary Biology 
653 |a Evolution (Biology) 
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520 |a This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level, to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems