000 02326nam a22003378i 4500
001 CR9781316882313
003 UkCbUP
005 20200124160209.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 160616s2018||||enk o ||1 0|eng|d
020 _a9781316882313 (ebook)
020 _z9781107184718 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aQH83
_b.W37 2018
082 0 4 _a578.01/2
_223
100 1 _aWarnow, Tandy,
_d1955-
_eauthor.
245 1 0 _aComputational phylogenetics :
_ban introduction to designing methods for phylogeny estimation /
_cTandy Warnow.
264 1 _aCambridge :
_bCambridge University Press,
_c2018.
300 _a1 online resource (xvi, 379 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 10 Nov 2017).
520 _aA comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate students and researchers from varying disciplines will be able to enter the broad and exciting field of computational phylogenetics.
650 0 _aCladistic analysis
_xStatistical methods.
650 0 _aPhylogeny
_xData processing.
650 0 _aBioinformatics.
776 0 8 _iPrint version:
_z9781107184718
856 4 0 _uhttps://doi.org/10.1017/9781316882313
999 _c515605
_d515603