Models and Algorithms for Genome Evolution: Computational Biology, cartea 19
Editat de Cedric Chauve, Nadia El-Mabrouk, Eric Tannieren Limba Engleză Hardback – 30 sep 2013
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Specificații
ISBN-13: 9781447152972
ISBN-10: 1447152972
Pagini: 366
Ilustrații: XII, 328 p. 86 illus., 45 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:2013
Editura: SPRINGER LONDON
Colecția Springer
Seria Computational Biology
Locul publicării:London, United Kingdom
ISBN-10: 1447152972
Pagini: 366
Ilustrații: XII, 328 p. 86 illus., 45 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.65 kg
Ediția:2013
Editura: SPRINGER LONDON
Colecția Springer
Seria Computational Biology
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Part I: Emergence of Standard Algorithms.- What's Behind Blast.- Forty Years of Model-Based Phylogeography.- How to Infer Ancestral Genome Features by Parsimony.- Duplication, Rearrangement and Reconciliation.- The Genesis of the DCJ Formula.- Part II: New Lights on Current Paradigms.- Large-Scale Multiple Sequence Alignment and Phylogeny Estimation.- Rearrangements in Phylogenetic Inference.- Status of Research on Insertion and Deletion Variations in the Human Population.- A Retrospective on Genomic Preprocessing for Comparative Genomics.- A Comparison of DCJ and Algebraic Distances.- Part III: Promising Directions.- Fractionation, Rearrangement, Consolidation, Reconstruction.- Error Detection and Correction of Gene Trees.- The Potential of Family-Free Genome Comparison.- Genetic History of Populations.
Notă biografică
Dr. Cedric Chauve is an associate professor at the Department of Mathematics of Simon Fraser University, Canada.
Dr. Nadia El-Mabrouk is a full professor at the Computer Science Department of the University of Montreal, Canada.
Dr. Eric Tannier is a researcher at the Bioinformatics and Evolutionary Genomics Group of Inria Grenoble – Rhône-Alpes, France.
Dr. Nadia El-Mabrouk is a full professor at the Computer Science Department of the University of Montreal, Canada.
Dr. Eric Tannier is a researcher at the Bioinformatics and Evolutionary Genomics Group of Inria Grenoble – Rhône-Alpes, France.
Textul de pe ultima copertă
This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution.
Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article.
Topics and features:
Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article.
Topics and features:
- Discusses the development of the BLAST algorithm, model-based phylogeography techniques, and the double cut and join (DCJ) distance formula
- Reviews the reconstruction of evolutionary features of ancestral genomes in a known phylogeny, and presents integrative models of evolution
- Introduces algorithms to estimate alignment and phylogeny on ultra-large datasets, and an approach for using likelihood methods with rearrangement models
- Examines the impact of insertion and deletion variants in human biology, evolution and health
- Surveys novel and recent research on genomic distance and family-free genome comparison
- Describes consolidation methods for reconstruction of ancestralgene orders, and error detection in gene tree construction
- Investigates the genetic events recoverable from simulations of human population histories
Caracteristici
Discusses the latest developments in computational tools for complex biological datasets Contains contributions from an international and interdisciplinary selection of experts Provides a tribute to David Sankoff's 50 years of contributions to this field Includes supplementary material: sn.pub/extras