Bioinformatics for Evolutionary Biologists : A Problems Approach / by Bernhard Haubold, Angelika Börsch-Haubold.

By: Haubold, Bernhard [author.]
Contributor(s): Börsch-Haubold, Angelika [author.] | SpringerLink (Online service)
Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XIII, 318 p. 44 illus., 22 illus. in colorISBN: 9783319673950 (ebook); 9783319673943Subject(s): Bioinformatics | Evolutionary biology | Bioinformatics  | Computational biology  | Bioinformatics | Evolutionary Biology | Computational Biology/Bioinformatics | Computer Appl. in Life SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification: QH324.25 | .H38 2017Online resources: Click here to access online
Contents:
The UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics.
In: Springer Nature eBookSummary: 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.
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Book Book MILA University Central Library
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QH324.25 .H38 2017 (R) (Browse shelf) Not For Loan School of Science and Engineering 0003134
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QH315 .B615 2011 (R) Biology 12 / QH324.2 .B56 2020 (R) Bioinformatics / QH324.25 .G46 2017 The Gene Ontology Handbook / QH324.25 .H38 2017 (R) Bioinformatics for Evolutionary Biologists : A Problems Approach / QH324.25 .S45 2018 (R) Applied Bioinformatics : An Introduction / QH367.5 .P49 2017 (R) Phylogenomics : An Introduction / QH430 .L4 2010 (R) Lewin's genes X /

The UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics.

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.

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