Evolution and Biocomputation
Author: Wolfgang Banzhaf
Publisher:
Published: 2014-01-15
Total Pages: 292
ISBN-13: 9783662184219
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Evolution and Biocomputation
Author: Wolfgang Banzhaf
Publisher: Springer Science & Business Media
Published: 1995-03-06
Total Pages: 292
ISBN-13: 9783540590460
DOWNLOAD EBOOK →This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index.
Introduction to Computational Biology
Author: Bernhard Haubold
Publisher: Springer Science & Business Media
Published: 2006-08-09
Total Pages: 329
ISBN-13: 3764373873
DOWNLOAD EBOOK →Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
Evolution and Biocomputation
Evolutionary Computation in Bioinformatics
Author: Gary Fogel
Publisher: Morgan Kaufmann
Published: 2003
Total Pages: 432
ISBN-13: 9781558607972
DOWNLOAD EBOOK →This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.
Bioinformatics for Evolutionary Biologists
Author: Bernhard Haubold
Publisher: Springer
Published: 2018-01-23
Total Pages: 318
ISBN-13: 3319673955
DOWNLOAD EBOOK →This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems.
Models and Methods for Biological Evolution
Author: Gilles Didier
Publisher: John Wiley & Sons
Published: 2024-04-10
Total Pages: 340
ISBN-13: 1394284241
DOWNLOAD EBOOK →Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological data. Models and Methods for Biological Evolution outlines the main methods to study evolution and provides a broad overview illustrating the variety of formal approaches used, notably including combinatorial optimization, stochastic models and statistical inference techniques. Some of the most relevant applications of these methods are detailed, concerning, for example, the study of migratory events of ancient human populations or the progression of epidemics. This book should thus be of interest to applied mathematicians interested in central problems in biology, and to biologists eager to get a deeper understanding of widely used techniques of evolutionary data analysis.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Author: Clara Pizzuti
Publisher: Springer Science & Business Media
Published: 2009-04-02
Total Pages: 214
ISBN-13: 3642011837
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.
Evolutionary Systems Biology
Author: Orkun S. Soyer
Publisher: Springer Science & Business Media
Published: 2012-07-23
Total Pages: 459
ISBN-13: 1461435676
DOWNLOAD EBOOK →The book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Author: Elena Marchiori
Publisher: Springer Science & Business Media
Published: 2007-04-02
Total Pages: 311
ISBN-13: 354071782X
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
