000			03307nam a22004575i 4500
999			_c2257 _d2257
001			978-3-319-67395-0
003			DE-He213
005			20200806162532.0
007			cr nn 008mamaa
008			180124s2017 gw | s |||| 0|eng d
020			_a9783319673950 (ebook)
020			_a9783319673943
024	7		_a10.1007/978-3-319-67395-0 _2doi
040			_aSpringer Nature Metadata _beng _cMIU _dMIU_ain
050		4	_aQH324.25 _b.H38 2017
100	1		_aHaubold, Bernhard. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aBioinformatics for Evolutionary Biologists : _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.
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. _0https://scigraph.springernature.com/ontologies/product-market-codes/L15001
650	2	4	_aEvolutionary Biology. _0https://scigraph.springernature.com/ontologies/product-market-codes/L21001
650	2	4	_aComputational Biology/Bioinformatics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I23050
650	2	4	_aComputer Appl. in Life Sciences. _0https://scigraph.springernature.com/ontologies/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 Nature eBook
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
942			_2lcc _cBK