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Algorithms in bioinformatics : a practical introduction

Sung, Wing-Kin - Personal Name;

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


Availability
#
4th Floor-i3L Library 572.80285 Sun a
20150100315
Available
#
Tandon / Reserved Collection 572.80285 Sun a
20150100316
Available
#
4th Floor-i3L Library 572.80285 Sun a
20150100317
Available
Detail Information
Series Title
-
Call Number
572.80285 Sun a
Publisher
Boca Raton, FL : CRC Press., 2010
Collation
xvii, 381 p. : ill. : ind. ; 24 cm.
Language
English
ISBN/ISSN
9781420070330
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Bioinformatics
Algorithms
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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Indonesia International Institute for Life Sciences - Learning Resources Center
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i3L Learning Resources Center (LRC) is vital part of your academic experience at Indonesia International Institute for Life-Sciences. LRC exists to support the teaching, learning and research programs of the Institute through the provision of high quality services and facilities which include access to a range of printed and digital resources primarily in the field of life-sciences and business. 

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