Keywords:
Bioinformatics.
;
Computational biology.
;
Sequence alignment (Bioinformatics).
;
Electronic books.
Description / Table of Contents:
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.
Type of Medium:
Online Resource
Pages:
1 online resource (357 pages)
Edition:
1st ed.
ISBN:
9780520943742
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=470974
DDC:
572.80285
Language:
English
Note:
Cover -- Table of Contents -- Contributors -- Preface -- 1. Sequence Alignment -- 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 Efficient Exploitation of the Informational Content of Protein Multiple Alignments -- References -- Index.
Permalink
