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An introduction present the foundation of key problems in cmb and bio informatics it focus on computational and statistical pricples applied to genomes and introduces the maths and stasticstics that are crucial for understanding these applications. the book is appropriate for one semester course for advanced under graduate n for beginners and it can also introduce comp.biology to computer scientist mathematics r biologists who r extending their intrest into their exciting field. This book feautures topic organized around biological problems such as sequence alignment and assemble dna signals.analysis presentation of fundamentals of probability staticstics and algorithms implementation of computational methods with numerous examples based on the R stastics package extensive description and explanation to compliment the analytical development more than 100 illustarions and diagrams to reinforce concepts and present keys results from the primary literature excersises at the end of chapters.
Michel s. watermann is a university a USC associate chair in natural sciences.a member of the national academy of the sciences and the American acdemy of arts and sciences.prof.watermann is found in editor and co editor in the chief of the general of computational biology .his research as focused on computional analysis of molecular sequences data.his best known work is the co development of the local alignment smith watermann algorithm which has become assembly using an eulerian path method.simon tavare holds the george and louis kawamoto chair in biological sciences and is prof of biological sciences, mathematics and preventive medicine at the university of south calfornia.

INTRODUCTION:
With the ability of genomic expressions,and structural data, maths and computer science have changed the phase of modern biology. this course introduces the basic computational method used to understand the cell on a molecular levels.we first focus on sequence alignment algorithms an dynamic programmings. Hashing suffix tres;gibbs sampling. We then cover computional approaches to genetics and physical mapping,dna sequencing,genome assembly and gene annotations rna expression and secondary structure,protein structure and folding molecular intractions and dynamics.

Genomics underlines the outgoing genetic revolution which will have far realling consequeses for medical biolgy and society genemic is the part of molecular biology and mathematics.this course teaches whatever applied mathaematician should know about the mathematical and computational half of the genomics.

This course introduces and motivates the field of genomics and includes all necessary biological background material.this focus is on genetics and physical mapping methods and their applications.the major topic includes genetic mapping edication,hybrid mapping,clone mapping and diseases gene mapping.the emphasis is on the mathematical and computational aspects of these method we also describe how the methods enable highly organizes biomedical research technologies
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