Evolutionary Bioinformatics
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Evolutionary Bioinformatics
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Author : Donald R. Forsdyke
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-11
Evolutionary Bioinformatics written by Donald R. Forsdyke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Science categories.
Books on bioinformatics which began appearing in the mid 80s primarily served gene-hunters, and biologists who wished to construct family trees showing tidy lines of descent. Given the great pharmaceutical industry interest in genes, this trend has continued in most subsequent texts. These deal extensively with the exciting topic of gene discovery and searching databases, but hardly consider genomes as information channels through which multiple forms and levels of information, including genic information, have passed through the generations.
Phylogenomics
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Author : Rob DeSalle
language : en
Publisher: CRC Press
Release Date : 2020-08-18
Phylogenomics written by Rob DeSalle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with Computers categories.
Phylogenomics: A Primer, Second Edition is for advanced undergraduate and graduate biology students studying molecular biology, comparative biology, evolution, genomics, and biodiversity. This book explains the essential concepts underlying the storage and manipulation of genomics level data, construction of phylogenetic trees, population genetics, natural selection, the tree of life, DNA barcoding, and metagenomics. The inclusion of problem-solving exercises in each chapter provides students with a solid grasp of the important molecular and evolutionary questions facing modern biologists as well as the tools needed to answer them.
Evolutionary Bioinformatics
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Author : Forsdyke
language : en
Publisher:
Release Date : 2009-05-01
Evolutionary Bioinformatics written by Forsdyke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-01 with categories.
Bioinformatics And Molecular Evolution
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Author : Paul G. Higgs
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-30
Bioinformatics And Molecular Evolution written by Paul G. Higgs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-30 with Science categories.
In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding is accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM). This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.
Evolutionary Computation In Bioinformatics
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Author : Gary Fogel
language : en
Publisher: Morgan Kaufmann
Release Date : 2003
Evolutionary Computation In Bioinformatics written by Gary Fogel and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
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.
Introduction To Computational Biology
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Author : Bernhard Haubold
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-09
Introduction To Computational Biology written by Bernhard Haubold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-09 with Science categories.
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.
Bioinformatics For Evolutionary Biologists
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Author : Bernhard Haubold
language : en
Publisher: Springer Nature
Release Date : 2023-02-03
Bioinformatics For Evolutionary Biologists written by Bernhard Haubold and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-03 with Science categories.
This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 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 four major operating systems for PCs: Windows, macOS, chromeOS, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 50 programs specifically written for this course and available via GitHub. 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 terms. By using practical computing to explore sequence data in an evolutionary context, the book enables readers to tackle their own computational problems.
Bioinformatics And Phylogenetics
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Author : Tandy Warnow
language : en
Publisher: Springer
Release Date : 2019-04-08
Bioinformatics And Phylogenetics written by Tandy Warnow and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-08 with Computers categories.
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.
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics
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Author : Marylyn D. Ritchie
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-25
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics written by Marylyn D. Ritchie and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-25 with Computers categories.
The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci'c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o'er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7-9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics
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Author : Leonardo Vanneschi
language : en
Publisher: Springer
Release Date : 2013-02-26
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics written by Leonardo Vanneschi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-26 with Computers categories.
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.