Bioinformatics Second Edition
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Bioinformatics, second edition
A guide to machine learning approaches and their application to the analysis of biological data. An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models—and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.
Exploring Bioinformatics
Author: Caroline St. Clair
language: en
Publisher: Jones & Bartlett Learning
Release Date: 2010
Exploring Bioinformatics: A Project-Based Approach Is Intended For An Introductory Course In Bioinformatics At The Undergraduate Level. Through Hands-On Projects, Students Are Introduced To Current Biological Problems And Then Explore And Develop Bioinformatic Solutions To These Issues. Each Chapter Presents A Key Problem, Provides Basic Biological Concepts, Introduces Computational Techniques To Address The Problem, And Guides Students Through The Use Of Existing Web-Based Tools And Existing Software Solutions. This Progression Prepares Students To Tackle The On-Your-Own Project, Where They Develop Their Own Software Solutions. Topics Such As Antibiotic Resistance, Genetic Disease, And Genome Sequencing Provide Context And Relevance To Capture Student Interest.
Bioinformatics of Genome Regulation, Volume I, 2nd Edition
Publisher’s note: In this 2nd edition, the following article has been updated: Orlov YL, Tatarinova TV, Oparina NY, Galieva ER and Baranova AV (2021) Editorial: Bioinformatics of Genome Regulation, Volume I. Front. Genet. 12:803273. doi: 10.3389/fgene.2021.803273