Sequence Alignment
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Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > Sequence Alignment: Methods, Models, Concepts, and Strategies
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Sequence Alignment: Methods, Models, Concepts, and Strategies

Sequence Alignment: Methods, Models, Concepts, and Strategies


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About the Book

The sequencing of the human genome involved thousands of scientists but used relatively few tools. Today, obtaining sequences is simpler, but aligning the sequences - making sure that sequences from one source are properly compared to those from other sources - remains a complicated but underappreciated aspect of comparative molecular biology. This volume, the first to focus on this crucial step in analyzing sequence data, is about the practice of alignment, the procedures by which alignments are established, and more importantly, how the outcomes of any alignment algorithm should be interpreted. Edited by Michael S. Rosenberg with essays by many of the field's leading experts, Sequence Alignment covers molecular causes, computational advances, approaches for assessing alignment quality, and philosophical underpinnings of the algorithms themselves.

Table of Contents:
Contributors Preface 1. Sequence Alignment: Concepts and History 2. Insertion and Deletion Events, Their Molecular Mechanisms, and Their Impact on Sequence Alignments 3. Local versus Global Alignments 4. Computing Multiple Sequence Alignment with Template-Based Methods 5. Sequence Evolution Models for Simultaneous Alignment and Phylogeny Reconstruction 6. Phylogenetic Hypotheses and the Utility of Multiple Sequence Alignment 7. Structural and Evolutionary Considerations for Multiple Sequence Alignment of RNA, and the Challenges for Algorithms That Ignore Them 8. Constructing Alignment Benchmarks 9. Simulation Approaches to Evaluating Alignment Error and Methods for Comparing Alternate Alignments Contents 10. Robust Inferences from Ambiguous Alignments 11. Strategies for Efficient Exploitation of the Informational Content of Protein Multiple Alignments References Index

About the Author :
Michael S. Rosenberg is Associate Professor of Computational Evolutionary Biology and Bioinformatics in the School of Life Sciences and the Center for Evolutionary Functional Genomics of the Biodesign Institute at Arizona State University.


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Product Details
  • ISBN-13: 9780520271319
  • Publisher: University of California Press
  • Publisher Imprint: University of California Press
  • Height: 229 mm
  • No of Pages: 360
  • Spine Width: 25 mm
  • Weight: 544 gr
  • ISBN-10: 0520271319
  • Publisher Date: 22 Aug 2011
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Methods, Models, Concepts, and Strategies
  • Width: 152 mm


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