Models and Algorithms for Genome Evolution, 1st Edition

  • Published By:
  • ISBN-10: 1447152980
  • ISBN-13: 9781447152989
  • DDC: 572.86
  • Grade Level Range: College Freshman - College Senior
  • 328 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.

Table of Contents

Cover Page.
Title Page.
Copyright Page.
Models and Algorithms for Genome Evolution—Preface.
1: Emergence of Standard Algorithms.
2: What's Behind Blast.
3: Forty Years of Model-Based Phylogeography.
4: How to Infer Ancestral Genome Features by Parsimony: Dynamic Programming Over an Evolutionary Tree.
5: Duplication, Rearrangement and Reconciliation: A Follow-Up 13 Years Later.
6: The Genesis of the DCJ Formula.
7: New Lights on Current Paradigms.
8: Large-Scale Multiple Sequence Alignment and Phylogeny Estimation.
9: Rearrangements in Phylogenetic Inference: Compare, Model, or Encode?.
10: Status of Research on Insertion and Deletion Variations in the Human Population.
11: A Retrospective on Genomic Preprocessing for Comparative Genomics.
12: The Emperor Has No Caps! A Comparison of DCJ and Algebraic Distances.
13: Promising Directions.
14: Fractionation, Rearrangement, Consolidation, Reconstruction.
15: Error Detection and Correction of Gene Trees.
16: The Potential of Family-Free Genome Comparison.
17: Genetic History of Populations: Limits to Inference.