Sequence Alignment
Download Sequence Alignment PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Sequence Alignment book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Multiple Sequence Alignment
Chapter “Alignment of Biological Sequences with Jalview” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Sequence Alignment
Author: Michael S. Rosenberg Ph. D.
language: en
Publisher: Univ of California Press
Release Date: 2009-03-11
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.
Multiple Sequence Alignment Methods
From basic performing of sequence alignment through a proficiency at understanding how most industry-standard alignment algorithms achieve their results, Multiple Sequence Alignment Methods describes numerous algorithms and their nuances in chapters written by the experts who developed these algorithms. The various multiple sequence alignment algorithms presented in this handbook give a flavor of the broad range of choices available for multiple sequence alignment generation, and their diversity is a clear reflection of the complexity of the multiple sequence alignment problem and the amount of information that can be obtained from multiple sequence alignments. Each of these chapters not only describes the algorithm it covers but also presents instructions and tips on using their implementation, as is fitting with its inclusion in the highly successful Methods in Molecular Biology series. Authoritative and practical, Multiple Sequence Alignment Methods provides a readily available resource which will allow practitioners to experiment with different algorithms and find the particular algorithm that is of most use in their application.