English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  DetailsSummary

Released
Book

Bioinformatics for evolutionary biologists: a problems approach

MPS-Authors
/persons/resource/persons56719

Haubold,  Bernhard
Research Group Bioinformatics, Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society;

/persons/resource/persons126055

Börsch-Haubold,  Angelika
Research Group Bioinformatics, Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society;

External Resource

http://dx.doi.org/10.1007/978-3-319-67395-0?nosfx=y
(Publisher version)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Haubold, B., & Börsch-Haubold, A. (2017). Bioinformatics for evolutionary biologists: a problems approach. Cham: Springer International Publishing. doi:http://dx.doi.org/10.1007/978-3-319-67395-0?nosfx=y.


Cite as: https://hdl.handle.net/21.11116/0000-0001-7B08-D
Abstract
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.