Bioinformatics for Evolutionary Biologists : A Problems Approach / by Bernhard Haubold, Angelika B�orsch-Haubold.
Material type: TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: 1 online resource (XIII, 318 pages 44 illustrations, 22 illustrations in color.)Content type:- text
- computer
- online resource
- 9783319884240
- 570.285 23 HAB
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Books | Central Library, SUST General Stacks | 570.285 HAB (Browse shelf(Opens below)) | 1 | Available | 0079895 |
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570.285 CUB Bioinformatics : | 570.285 CUB Bioinformatics : | 570.285 GID Developing bioinformatics computer skills / | 570.285 HAB Bioinformatics for Evolutionary Biologists : A Problems Approach / | 570.285 HAE Essential genetics a genomics perspective / | 570.285 HAM Mining of data with complex structures / | 570.285 HAM Mining of data with complex structures / |
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.
Description based on publisher-supplied MARC data.
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