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02762nam a22004815i 4500 |
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978-3-319-67395-0 |
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DE-He213 |
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20180124161808.0 |
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cr nn 008mamaa |
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180124s2017 gw | s |||| 0|eng d |
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|a 9783319673950
|9 978-3-319-67395-0
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|a 10.1007/978-3-319-67395-0
|2 doi
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|d GrThAP
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|a QH324.2-324.25
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|a PSD
|2 bicssc
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|a UB
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|a SCI056000
|2 bisacsh
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|a 570.285
|2 23
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| 100 |
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|a Haubold, Bernhard.
|e author.
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| 245 |
1 |
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|a Bioinformatics for Evolutionary Biologists
|h [electronic resource] :
|b A Problems Approach /
|c by Bernhard Haubold, Angelika Börsch-Haubold.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a X, 318 p. 44 illus., 22 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|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.
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| 650 |
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|a Life sciences.
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| 650 |
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|a Bioinformatics.
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| 650 |
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|a Computational biology.
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| 650 |
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|a Evolutionary biology.
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| 650 |
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4 |
|a Life Sciences.
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| 650 |
2 |
4 |
|a Bioinformatics.
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| 650 |
2 |
4 |
|a Evolutionary Biology.
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| 650 |
2 |
4 |
|a Computational Biology/Bioinformatics.
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| 650 |
2 |
4 |
|a Computer Appl. in Life Sciences.
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| 700 |
1 |
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|a Börsch-Haubold, Angelika.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319673943
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-67395-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SBL
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| 950 |
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|a Biomedical and Life Sciences (Springer-11642)
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