Algorithms in Bioinformatics

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A01=Wing-Kin Sung
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algorithms
Alignment Score
Author_Wing-Kin Sung
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Base Pairs
bioinformatics
biological applications
Category1=Non-Fiction
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Category=PSAX
Category=UMB
Chapman & Hall/CRC Mathematical and Computational Biology
Chapman & HallCRC Mathematical and Computational Biology
computational methods for biological data
Consensus Tree
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discrete mathematics
Dynamic Programming Table
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evolutionary tree comparison
Gap Penalty
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Language_English
Longest Common Subsequence
Majority Rule Consensus Tree
mass spectrometry proteomics
molecular sequence alignment
MSA
Multiple Alignment
Optimal Alignment
Optimal Global Alignment
Optimal Local Alignment
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Phylogenetic Trees
population genetics algorithms
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PSP Score
RNA Secondary Structure
RNA structure prediction
Sequence S1
softlaunch
SP Score
Strict Consensus Tree
suffix tree applications
T1 T2
Tandem Mass Spectrum
Ultrametric Tree
Ungapped Alignment
UPGMA Algorithm
Wing-kin sung

Product details

  • ISBN 9780367659318
  • Weight: 840g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions

Developed from the author’s own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational problems. He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. Supplementary material is available at http://www.comp.nus.edu.sg/~ksung/algo_in_bioinfo/

This classroom-tested textbook begins with basic molecular biology concepts. It then describes ways to measure sequence similarity, presents simple applications of the suffix tree, and discusses the problem of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of genome rearrangement, and the problem of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. The final chapter examines the computational problem related to population genetics.

Wing-Kin Sung is an associate professor at the National University of Singapore.

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