Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Medium
Language
Region
Library
Years
Access
  • 1
    UID:
    gbv_751280615
    Format: Online-Ressource (XIV, 550 p) , digital
    Edition: Springer eBook Collection. Biomedical and Life Sciences
    ISBN: 9781402023309
    Series Statement: Computational Biology 4
    Content: This is the first book on "phylogenetic supertrees", a recent, but controversial development for inferring evolutionary trees. Rather than analyze the combined primary character data directly, supertree construction proceeds by combining the tree topologies derived from those data. This difference in strategy has allowed for the exciting possibility of larger, more complete phylogenies than are otherwise currently possible, with the potential to revolutionize evolutionarily-based research. This book provides a comprehensive look at supertrees, ranging from the methods used to build supertrees to the significance of supertrees to bioinformatic and biological research. Reviews of many the major supertree methods are provided and four new techniques, including a Bayesian implementation of supertrees, are described for the first time. The far-reaching impact of supertrees on biological research is highlighted both in general terms and through specific examples from diverse clades such as flowering plants, even-toed ungulates, and primates. The book also critically examines the many outstanding challenges and problem areas for this relatively new field, showing the way for supertree construction in the age of genomics. Interdisciplinary contributions from the majority of the leading authorities on supertree construction in all areas of the bioinformatic community (biology, computer sciences, and mathematics) will ensure that this book is a valuable reference with wide appeal to anyone interested in phylogenetic inference
    Additional Edition: ISBN 9781402023293
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781402023293
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781402023286
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789401570190
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    UID:
    almahu_9948621302902882
    Format: XIV, 550 p. , online resource.
    Edition: 1st ed. 2004.
    ISBN: 9781402023309
    Series Statement: Computational Biology, 4
    Content: This is the first book on "phylogenetic supertrees", a recent, but controversial development for inferring evolutionary trees. Rather than analyze the combined primary character data directly, supertree construction proceeds by combining the tree topologies derived from those data. This difference in strategy has allowed for the exciting possibility of larger, more complete phylogenies than are otherwise currently possible, with the potential to revolutionize evolutionarily-based research. This book provides a comprehensive look at supertrees, ranging from the methods used to build supertrees to the significance of supertrees to bioinformatic and biological research. Reviews of many the major supertree methods are provided and four new techniques, including a Bayesian implementation of supertrees, are described for the first time. The far-reaching impact of supertrees on biological research is highlighted both in general terms and through specific examples from diverse clades such as flowering plants, even-toed ungulates, and primates. The book also critically examines the many outstanding challenges and problem areas for this relatively new field, showing the way for supertree construction in the age of genomics. Interdisciplinary contributions from the majority of the leading authorities on supertree construction in all areas of the bioinformatic community (biology, computer sciences, and mathematics) will ensure that this book is a valuable reference with wide appeal to anyone interested in phylogenetic inference.
    Note: New uses for old phylogenies: an introduction to the volume -- 1. Reviews of existing methods -- The MRP method -- An assessment of matrix representation with compatibility in supertree construction -- MRF supertrees -- Everything you always wanted to know about average consensus, and more -- Tangled trees from multiple markers: reconciling conflict between phylogenies to build molecular supertrees -- 2. New supertree methods -- Supertree methods for ancestral divergence dates and other applications -- Supertree algorithms for nested taxa -- Quartet supertrees -- Bayesian supertrees -- 3. Methodological considerations -- Some desiderata for liberal supertrees -- Taxonomy, supertrees, and the Tree of Life -- Garbage in, garbage out: data issues in supertree construction -- Reconstructing divergence times for supertrees: a molecular approach -- Performance of supertree methods on various data set decompositions -- 4. A critical look at supertrees -- Unrooted supertrees: limitations, traps, and phylogenetic patchworks -- The cladistics of matrix representation with parsimony analysis -- A critique of matrix representation with parsimony supertrees -- Supertrees, components and three-item data -- 5. Supertrees and their applications -- A molecular supertree of the Artiodactyla -- Supertrees: using complete phylogenies in comparative biology -- Using supertrees to investigate species richness in grasses and flowering plants -- Detecting diversification rate variation in supertrees -- Taxon index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781402023293
    Additional Edition: Printed edition: ISBN 9781402023286
    Additional Edition: Printed edition: ISBN 9789401570190
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Did you mean 9781000223309?
Did you mean 9781402003509?
Did you mean 9781402020209?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages