Search Results: 'BioInformatics'

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31 results for "BioInformatics"
Bioinformatics: A Practical Approach By Ashokan Kannarath
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The book is meant for the beginners in the filed of bioinformatics.It explains various database its use and access.The book gives an excellent idea about the insiico phylogenetic study, docking... More > packages and over all information regarding the bioinformatics. I promise the young generation of bioinformatics , the books will give you a big help in your research.< Less
Major Research Areas of Bioinformatics By Homework Help Classof1
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Engineering is a diverse discipline, which includes several different fields and different branches. One important branch of engineering is biomedical engineering that consists of the study and... More > design of new technologies related to biology and medicine. The field of biomedical engineering is further divided into additional areas, one being bioinformatics. Bioinformatics is a special part of biomedical engineering that focuses mainly on the development and enhancement of approaches for the purpose of storing, retrieval, organization and analysis of different forms of biological data. The field includes the development of different software tools that provide biological knowledge and advancements. One major part of bioinformatics is research and thus we would discuss some of the major research areas of bioinformatics.< Less
Beginning Perl for Bioinformatics By Erik Navander
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This book shows biologists with little or no programming experience how to use Perl, the ideal language for biological data analysis. Each chapter focuses on solving particular problems or class of... More > problems, so you'll finish the book with a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to tackle more advanced bioinformatics programming.< Less
Introduction to Bioinformatics using Action Labs By Jean-Louis Lassez, Ryan Rossi, Stephen Sheel
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Bioinformatics is the application of computational techniques and tools to analyze and manage biological data. This book provides an introduction to bioinformatics through the use of Action Labs.... More > These labs allow students to get experience using real data and tools to solve difficult problems. The book comes with supplementary software tools and papers. The labs use data from Breast Cancer, Liver Disease, Diabetes, SARS, HIV, Extinct Organisms, and many others. The book has been written for first or second year computer science, mathematics, and biology students. The supplementary software and papers can be found at http://www.kibazen.com/binf< Less
Introduction to Bioinformatics using Action Labs By Jean-Louis Lassez, Ryan Rossi, Stephen Sheel
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Bioinformatics is the application of computational techniques and tools to analyze and manage biological data. This book provides an introduction to bioinformatics through the use of Action Labs.... More > These labs allow students to get experience using real data and tools to solve difficult problems. The book comes with supplementary software tools and papers. The labs use data from Breast Cancer, Liver Disease, Diabetes, SARS, HIV, Extinct Organisms, and many others. The book has been written for first or second year computer science, mathematics, and biology students. The supplementary software and papers can be found at http://www.kibazen.com/binf< Less
Learning algorithms and statistical software, with applications to bioinformatics By Toby Dylan Hocking
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Toby Dylan Hocking's PhD thesis is divided into two parts: learning algorithms and statistical software. Algorithms for segmentation, clustering, and model selection are discussed in the first part,... More > and the second part explains how to implement several statistical software packages in the R language. The content, which includes 47 color figures, should be appreciated by a reader with a background in statistics, data analysis, machine learning, or programming.< Less
Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection By Stephen Winters-Hilt
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This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight... More > years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.< Less
PipeWorks User Guide By Christopher Hoover
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PipeWorks User Guide By Christopher Hoover
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Computational Genomics: Current Methods By Nikola Stojanovic
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An overview of comparative genomics and the analysis of sequenced genomes. Topics cover the recent methods used in the study of mobile DNA elements, motif finding and the characterization of segments... More > within DNA sequences, theoretical considerations and techniques in the construction and analysis of sequence alignments, and the methods for processing microarray data. Also included is an overview of the computational issues involved in the study of the HIV virus. The last part of the book provides an overview of the resources and technologies aimed to facilitate core genomics research: databases and supercomputing applications, the focus being on emerging technologies such as the interconnecting of resources, the development of meta-databases and data exchange protocols. The book concludes with a review of networking technologies and resources, as well as some of the applications of distributed computing in genomics. An essential book for anyone involved in genomics or bioinformatics.< Less