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EBOOK
Author Haubold, Bernhard, 1967-
Title Bioinformatics for evolutionary biologists : a problems approach / Bernhard Haubold, Angelika Borsch-Haubold.
Imprint Cham, Switzerland : Springer, 2017.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Haubold, Bernhard, 1967-
Subject Bioinformatics.
Evolution (Biology)
Alt Name Börsch-Haubold, Angelika,
Description 1 online resource (x, 318 pages) : illustrations (some color)
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Note Online resource; title from PDF title page (SpringerLink, viewed February 1, 2018).
Summary 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.
Contents The UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics.
ISBN 9783319673950 (electronic bk.)
3319673955 (electronic bk.)
9783319673943 (print)
3319673947
9783319673967 (print)
3319673963
9783319884240 (print)
3319884247
ISBN/ISSN 10.1007/978-3-319-67395-0
OCLC # 1021179665
Additional Format Printed edition: 9783319673943.


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