Sequence Alignment : Methods, Models, Concepts, and Strategies / Michael S. Rosenberg.

Format:

Book

Contributor:

Rosenberg, Michael S., Editor.

Language:

English

Subjects (All):

Bioinformatics.

Computational biology.

Sequence alignment (Bioinformatics).

Physical Description:

1 online resource (357 p.)

Edition:

1st ed.

Place of Publication:

Berkeley, CA : University of California Press, [2009]

Language Note:

English

Summary:

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.

Contents:

Frontmatter

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

10. Robust Inferences from Ambiguous Alignments

11. Strategies for Effi cient Exploitation of the Informational Content of Protein Multiple Alignments

References

Index

Notes:

Description based upon print version of record.

Includes bibliographical references (pages 297-332) and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Apr 2020)

ISBN:

9786612360961

9781282360969

1282360965

9780520943742

0520943740

OCLC:

574421194