000868184 000__ 05175cam\a2200517Ii\4500
000868184 001__ 868184
000868184 005__ 20230306145942.0
000868184 006__ m\\\\\o\\d\\\\\\\\
000868184 007__ cr\cn\nnnunnun
000868184 008__ 190423s2019\\\\sz\a\\\\ob\\\\011\0\eng\d
000868184 019__ $$a1099344701$$a1099752960
000868184 020__ $$a9783030108373$$q(electronic book)
000868184 020__ $$a3030108376$$q(electronic book)
000868184 020__ $$z9783030108366
000868184 020__ $$z3030108368
000868184 0247_ $$a10.1007/978-3-030-10837-3$$2doi
000868184 035__ $$aSP(OCoLC)on1098171042
000868184 035__ $$aSP(OCoLC)1098171042$$z(OCoLC)1099344701$$z(OCoLC)1099752960
000868184 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dUPM$$dOCLCF
000868184 049__ $$aISEA
000868184 050_4 $$aQH324.2
000868184 08204 $$a570.285$$223
000868184 24500 $$aBioinformatics and phylogenetics :$$bseminal contributions of Bernard Moret /$$cTandy Warnow, editor.
000868184 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000868184 300__ $$a1 online resource (xxv, 410 pages) :$$billustrations.
000868184 336__ $$atext$$btxt$$2rdacontent
000868184 337__ $$acomputer$$bc$$2rdamedia
000868184 338__ $$aonline resource$$bcr$$2rdacarrier
000868184 347__ $$atext file$$bPDF$$2rda
000868184 4901_ $$aComputational biology,$$x1568-2684 ;$$vvolume 29
000868184 504__ $$aIncludes bibliographical references and index.
000868184 5050_ $$aIntroduction: A Biography of Bernard Moret -- A Review of Approaches for Optimizing Phylogenetic Likelihood Calculations -- Numerical Optimization Techniques in Maximum Likelihood Tree Inference -- High-Performance Phylogenetic Inference -- Hands-On Introduction to Sequence-Length Requirements in Phylogenetics -- Gene Family Evolution -- An Algorithmic Framework -- Divide-and-Conquer Tree Estimation: Opportunities and Challenges -- Taxonomic Supertree Construction with incertae sedis Taxa -- Evolutionary Rate Change and the Transformation from Additive to Ultrametric: Modal Similarity of Orthologs in Fish and Flower Phylogenomics -- Ancestral Genome Reconstruction -- Genome Rearrangement Problems with Single and Multiple Gene Copies: A Review -- Computational Models for Cancer Phylogenetics -- Clusters, Trees and Phylogenetic Network Classes -- Advances in Computational Methods for Phylogenetic Networks in the Presence of Hybridization -- A Perspective on Comparative and Functional Genomics -- Integer Linear Programming in Computational Biology: Overview of ILP, and New Results for Traveling Salesman Problems in Biology.
000868184 506__ $$aAccess limited to authorized users.
000868184 520__ $$aThis volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret's research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest. Topics and features: Addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem Describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees Discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events Reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches Examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation Highlights how evolution can provide a framework within which to understand comparative and functional genomics Provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics. Dr. Tandy Warnow is the Founder Professor of Computer Science at the University of Illinois at Urbana-Champaign, where she is also an affiliate in the departments of Mathematics, Statistics, Bioengineering, Electrical and Computer Engineering, Animal Biology, Entomology, and Plant Biology.
000868184 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 23, 2019).
000868184 650_0 $$aComputational biology.
000868184 650_0 $$aBioinformatics.
000868184 650_0 $$aPhylogeny.
000868184 7001_ $$aMoret, B. M. E.$$q(Bernard M. E.),$$ehonouree.
000868184 7001_ $$aWarnow, Tandy,$$d1955-$$eeditor.
000868184 77608 $$iPrint version:$$z3030108368$$z9783030108366$$w(OCoLC)1077960944
000868184 830_0 $$aComputational biology ;$$vv. 29.
000868184 852__ $$bebk
000868184 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-10837-3$$zOnline Access$$91397441.1
000868184 909CO $$ooai:library.usi.edu:868184$$pGLOBAL_SET
000868184 980__ $$aEBOOK
000868184 980__ $$aBIB
000868184 982__ $$aEbook
000868184 983__ $$aOnline
000868184 994__ $$a92$$bISE