000 03824nam a22004815i 4500
001 978-1-4614-1743-9
003 DE-He213
005 20140220083243.0
007 cr nn 008mamaa
008 111104s2012 xxu| s |||| 0|eng d
020 _a9781461417439
_9978-1-4614-1743-9
024 7 _a10.1007/978-1-4614-1743-9
_2doi
050 4 _aQH359-425
072 7 _aPSAJ
_2bicssc
072 7 _aSCI027000
_2bisacsh
082 0 4 _a576.8
_223
100 1 _aParadis, Emmanuel.
_eauthor.
245 1 0 _aAnalysis of Phylogenetics and Evolution with R
_h[electronic resource] /
_cby Emmanuel Paradis.
264 1 _aNew York, NY :
_bSpringer New York,
_c2012.
300 _aXIV, 386p. 89 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R!
505 0 _aIntroduction -- First Steps in R for Phylogeneticists -- Phylogenetic Data in R -- Plotting Phylogenies -- Phylogeny Estimation -- Analysis of Macroevolution with Phylogenies -- Simulating Phylogenies and Evolutionary Data -- Developing and Implementing Phylogenetic Methods in R -- Short Course on Regular Expressions.
520 _aThe increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments. The second edition is completely updated, covering the full gamut of R packages for this area that have been introduced  to the market since its previous publication five years ago. There is also  a new chapter on the simulation of evolutionary data.  Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to implement these methods in R. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree drawing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.
650 0 _aLife sciences.
650 0 _aBioinformatics.
650 0 _aEvolution (Biology).
650 0 _aStatistics.
650 1 4 _aLife Sciences.
650 2 4 _aEvolutionary Biology.
650 2 4 _aBioinformatics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461417422
830 0 _aUse R!
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1743-9
912 _aZDB-2-SMA
999 _c101126
_d101126