000 02534nam a22003378i 4500
001 CR9781139019767
003 UkCbUP
005 20200124160250.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 110216s2012||||enk o ||1 0|eng|d
020 _a9781139019767 (ebook)
020 _z9780521768320 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 4 _aQA274.76
_b.D74 2012
082 0 0 _a511/.6
_223
100 1 _aDress, Andreas,
_eauthor.
245 1 0 _aBasic phylogenetic combinatorics /
_cAndreas Dress [and four others].
264 1 _aCambridge :
_bCambridge University Press,
_c2012.
300 _a1 online resource (xii, 264 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 05 Oct 2015).
505 8 _aMachine generated contents note: 1. Preliminaries; 2. Encoding X-trees; 3. Consistency of X-tree encodings; 4. From split systems to networks; 5. From metrics to networks; 6. From quartet and tree systems to trees; 7. From metrics to split systems and back; 8. Maps to and from quartet systems; 9. Rooted trees and the Farris transform; 10. On measuring and removing inconsistencies.
520 _aPhylogenetic combinatorics is a branch of discrete applied mathematics concerned with the combinatorial description and analysis of phylogenetic trees and related mathematical structures such as phylogenetic networks and tight spans. Based on a natural conceptual framework, the book focuses on the interrelationship between the principal options for encoding phylogenetic trees: split systems, quartet systems and metrics. Such encodings provide useful options for analyzing and manipulating phylogenetic trees and networks, and are at the basis of much of phylogenetic data processing. This book highlights how each one provides a unique perspective for viewing and perceiving the combinatorial structure of a phylogenetic tree and is, simultaneously, a rich source for combinatorial analysis and theory building. Graduate students and researchers in mathematics and computer science will enjoy exploring this fascinating new area and learn how mathematics may be used to help solve topical problems arising in evolutionary biology.
650 0 _aBranching processes.
650 0 _aCombinatorial analysis.
776 0 8 _iPrint version:
_z9780521768320
856 4 0 _uhttps://doi.org/10.1017/CBO9781139019767
999 _c519402
_d519400