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010 _a 2019737048
020 _a9783319884240
024 7 _a10.1007/978-3-319-67395-0
_2doi
035 _a(DE-He213)978-3-319-67395-0
040 _aDLC
_beng
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072 7 _aSCI056000
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072 7 _aUB
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082 0 4 _a570.285
_223
_bHAB
100 1 _aHaubold, Bernhard.
_eauthor.
_968082
245 1 0 _aBioinformatics for Evolutionary Biologists :
_bA Problems Approach /
_cby Bernhard Haubold, Angelika B�orsch-Haubold.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _a1 online resource (XIII, 318 pages 44 illustrations, 22 illustrations in color.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aThe UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics.
520 _aThis 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.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aBioinformatics.
_968083
650 0 _aBioinformatics.
_968083
650 0 _aComputational biology.
_968084
650 0 _aEvolutionary biology.
_968085
650 1 4 _aBioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/L15001
_968086
650 2 4 _aComputational Biology/Bioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/I23050
_968087
650 2 4 _aComputer Appl. in Life Sciences.
_0http://scigraph.springernature.com/things/product-market-codes/L17004
_968088
650 2 4 _aEvolutionary Biology.
_0http://scigraph.springernature.com/things/product-market-codes/L21001
_968089
700 1 _aB�orsch-Haubold, Angelika.
_eauthor.
_968090
776 0 8 _iPrint version:
_tBioinformatics for evolutionary biologists.
_z9783319673943
_w(DLC) 2017955660
776 0 8 _iPrinted edition:
_z9783319673943
776 0 8 _iPrinted edition:
_z9783319673967
776 0 8 _iPrinted edition:
_z9783319884240
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