Read Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology) by Wing-Kin Sung Online

* Read * Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology) by Wing-Kin Sung ↠ eBook or Kindle ePUB. Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology) He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. The final chapter examines the computational problem related to population genetics.. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational prob

Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology)

Title : Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical and Computational Biology)
Author :
Rating : 4.53 (661 Votes)
Asin : 1420070339
Format Type : paperback
Number of Pages : 407 Pages
Publish Date : 2014-03-25
Language : English

Although some concepts referenced in the book specifically target advanced bioinformatics experts, general users should not be discouraged from reading this work. …Summing Up: Recommended.CHOICE, June 2010… an excellent guide. … This work can serve as a reference guide for students and researchers attempting to implement or learn algorithms relevant to bioinformatics. … Section 1.8 sets a new, high standard for science-history exposition, covering Gregor Mendel to the present. The book is appropriate for advanced undergraduates and graduates in mathematics or CS. …This self-contained, well-designed, and well-written bo

"Five Stars" according to Jorge Johnson. Great book in the topic.. "The book is new, just arrive one month later" according to Rodrigo Savage. the book is very nice and good, it just arrive one month after I order it,but it was international shipping, it's understandablethe book starts with molecular biology background and then explains the importance of the algorithms, and how to implement them

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

He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. The final chapter examines the computational problem related to population genetics.. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational problems. 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 then describes ways to measure sequence similarity, presents simple applications of the suffix tree, and discusses the problem of searching sequence databases. Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic SolutionsDeveloped 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. Supplementary material is available at comps/ksung/algo_in_bioinfo/ This classroom-tested textbook begins with basic molecular biology concepts

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