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001 978-3-319-67395-0
003 DE-He213
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008 180124s2017 gw | s |||| 0|eng d
020 _a9783319673950
_9978-3-319-67395-0
024 7 _a10.1007/978-3-319-67395-0
_2doi
050 4 _aQH324.2-324.25
072 7 _aPSD
_2bicssc
072 7 _aSCI056000
_2bisacsh
072 7 _aPSD
_2thema
072 7 _aUB
_2thema
082 0 4 _a570.285
_223
100 1 _aHaubold, Bernhard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBioinformatics for Evolutionary Biologists
_h[electronic resource] :
_bA Problems Approach /
_cby Bernhard Haubold, Angelika Börsch-Haubold.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIII, 318 p. 44 illus., 22 illus. in color.
_bonline resource.
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.
650 0 _aBioinformatics.
650 0 _aEvolutionary biology.
650 0 _aBioinformatics .
650 0 _aComputational biology .
650 1 4 _aBioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/L15001
650 2 4 _aEvolutionary Biology.
_0http://scigraph.springernature.com/things/product-market-codes/L21001
650 2 4 _aComputational Biology/Bioinformatics.
_0http://scigraph.springernature.com/things/product-market-codes/I23050
650 2 4 _aComputer Appl. in Life Sciences.
_0http://scigraph.springernature.com/things/product-market-codes/L17004
700 1 _aBörsch-Haubold, Angelika.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319673943
776 0 8 _iPrinted edition:
_z9783319673967
776 0 8 _iPrinted edition:
_z9783319884240
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67395-0
912 _aZDB-2-SBL
999 _c18052
_d18052
942 _cebook