Algorithms in Computational Molecular Biology

This book PDF is perfect for those who love Science genre, written by Mourad Elloumi and published by John Wiley & Sons which was released on 04 April 2011 with total hardcover pages 1027. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Algorithms in Computational Molecular Biology books below.

Algorithms in Computational Molecular Biology
Algorithms in Computational Molecular Biology
Author : Mourad Elloumi
File Size : 50,6 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 04 April 2011
ISBN : 9781118101988
Pages : 1027 pages
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Algorithms in Computational Molecular Biology by Mourad Elloumi Book PDF Summary

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Algorithms in Computational Molecular Biology

Algorithms in Computational Molecular Biology by Mourad Elloumi,Albert Y. Zomaya

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems.

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Algorithms in Structural Molecular Biology

Algorithms in Structural Molecular Biology by Bruce R. Donald

An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have

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Computational Molecular Biology

Computational Molecular Biology by S. Istrail,P. Pevzner,R. Shamir

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An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms by Neil C. Jones,Pavel A. Pevzner

An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. 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 techniques,

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Introduction to Computational Molecular Biology

Introduction to Computational Molecular Biology by João Carlos Setubal,João Meidanis

Basic concepts of molecular biology. Strings, graphs, and algorithms. Sequence comparasion and database search. Fragment assembly of DNA. Physical mapping of DNA. Phylogenetic trees. Genome rearrangements. Molecular structure prediction. epilogue: computing with DNA. Answers to selected exercises. References. index.

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Handbook of Computational Molecular Biology

Handbook of Computational Molecular Biology by Srinivas Aluru

The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

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Algorithms for Computational Biology

Algorithms for Computational Biology by Daniel Figueiredo,Carlos Martín-Vide,Diogo Pratas,Miguel A. Vega-Rodríguez

This book constitutes the proceedings of the 4th InternationalConference on Algorithms for Computational Biology, AlCoB 2017, held in Aveiro, Portugal, in June 2017. The 10 full papers presented together with 2 invited papers were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Graph Algorithms for Computational Biology; Phylogenetics;

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Algorithms in Bioinformatics

Algorithms in Bioinformatics by Wing-Kin Sung

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 bi

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