Algorithms in Bioinformatics A Practical Introduction

This classroom-tested text provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation, precisely defines the corresponding computational problems, and includes detailed examples to illustrate each al...

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Bibliographische Detailangaben
1. Verfasser: Sung, Wing-Kin
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Boca Raton Chapman and Hall/CRC 2010
Chapman & Hall/CRC
CRC Press LLC
Chapman & Hall
Ausgabe:1
Schriftenreihe:Chapman & Hall/CRC Mathematical and Computational Biology Series
Schlagworte:
Bioinformatics
Genetic algorithms
Optimal Global Alignment
Base Pairs
Dynamic Programming Table
Optimal Local Alignment
PSP Score
Path Label
Strict Consensus Tree
Longest Common Subsequence
MSA
RNA Secondary Structure
Ungapped Alignment
UPGMA Algorithm
SP Score
Gap Penalty
Alignment Score
Phylogenetic Trees
Majority Rule Consensus Tree
Tandem Mass Spectrum
Optimal Alignment
Ultrametric Tree
Consensus Tree
Internal Node
Sequence S1
T1 T2
Multiple Alignment
ISBN:1420070339, 9781420070330
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This classroom-tested text provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation, precisely defines the corresponding computational problems, and includes detailed examples to illustrate each algorithm. The text covers basic molecular biology concepts, sequence similarity, the suffix tree, sequence databases, sequence and genome alignment, the phylogenetic tree, genome rearrangement, motif finding, the secondary structure of RNA, peptide sequencing, and population genetics. Supplementary material is provided on the author's website and a solutions manual is available for qualifying instructors.
Bibliographie:Includes bibliographical references and index
On cover : A Chapman & Hall book
ISBN:1420070339
9781420070330
DOI:10.1201/9781420070347