Bioconsensus

Download or read book Bioconsensus written by DIMACS (Group) and published by American Mathematical Soc.. This book was released on 2003 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly developing field of bioconsensus, consensus methods from the social and behavioral sciences are used when choosing among alternative solutions to problems in the biological sciences. This text for mathematical and evolutionary biologists and computer scientists contains 16 contributions on various topics in bioconsensus. Included are papers originally presented at meetings held in 2000 and 2001 at the DIMACS Center as well as some from experts who did not attend the meetings. These papers provide historical background, discuss the axiomatic foundations of the field of bioconsensus, and apply consensus methods to real data. The volume is not indexed. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).

Download or read book Axiomatic Consensus Theory in Group Choice and Biomathematics written by William H. E. Day and published by SIAM. This book was released on 2003-01-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique comprehensive review of axiomatic consensus theory in biomathematics as it has developed over the past 30 years.

Download or read book Advances In Interdisciplinary Applied Discrete Mathematics written by Hemanshu Kaul and published by World Scientific. This book was released on 2010-12-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past 50 years, discrete mathematics has developed as a far-reaching and popular language for modeling fundamental problems in computer science, biology, sociology, operations research, economics, engineering, etc. The same model may appear in different guises, or a variety of models may have enough similarities such that same ideas and techniques can be applied in diverse applications.This book focuses on fields such as consensus and voting theory, clustering, location theory, mathematical biology, and optimization that have seen an upsurge of new and exciting works over the past two decades using discrete models in modern applications. Featuring survey articles written by experts in these fields, the articles emphasize the interconnectedness of the mathematical models and techniques used in various areas, and elucidate the possibilities for future interdisciplinary research. Additionally, this book discusses recent advances in the fields, highlighting the approach of cross-fertilization of ideas across disciplines.

Download or read book Handbook of Computational Molecular Biology written by Srinivas Aluru and published by CRC Press. This book was released on 2005-12-21 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

Download or read book Mathematical Reviews written by and published by . This book was released on 2004 with total page 1770 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Phylogenetic Supertrees written by O. R. P. Bininda-Emonds and published by Springer Science & Business Media. This book was released on 2004-08-25 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Bioinformatics and Phylogenetics written by Tandy Warnow and published by Springer. This book was released on 2019-04-08 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.