Rabu, 20 Januari 2010

Algorithms in Bioinformatics Pdf

Algorithms in Bioinformatics
Author: Wing-Kin Sung
Edition: 1
Binding: Hardcover
ISBN: 1420070339

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. Download Algorithms in Bioinformatics: A Practical Introduction (Chapman & Hall/CRC Mathematical & Computational Biology) from rapidshare, mediafire, 4shared. 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 mol Search and find a lot of medical books in many category availabe for free download. Algorithms in Bioinformatics medical books pdf for free. 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 sg/~ksung/algo_in_bioinfo/ This classroom-tested textbook begins with basic mol



download

Related books


An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)


This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical tec

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids


Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analyzing biological s

Next-Generation DNA Sequencing Informatics


Next-generation DNA sequencing (NGS) technology has revolutionized biomedical research, making complete genome sequencing an affordable and frequently used tool for a wide variety of research applications. Bioinformatics methods to support DNA sequen

Beginning Perl for Bioinformatics


With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge

Tidak ada komentar:

Posting Komentar