Handbook of Hidden Markov Models in Bioinformatics

Handbook of Hidden Markov Models in Bioinformatics
Author: Martin Gollery
Publisher: CRC Press
Total Pages: 178
Release: 2008-06-12
Genre: Computers
ISBN: 1420011804

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, incl

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics
Author: Henry Horng-Shing Lu
Publisher: Springer Science & Business Media
Total Pages: 621
Release: 2011-05-17
Genre: Mathematics
ISBN: 3642163459

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.

Biological Sequence Analysis Using the SeqAn C++ Library

Biological Sequence Analysis Using the SeqAn C++ Library
Author: Andreas Gogol-Döring
Publisher: CRC Press
Total Pages: 330
Release: 2009-11-11
Genre: Computers
ISBN: 1420076248

An Easy-to-Use Research Tool for Algorithm Testing and DevelopmentBefore the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were either unavailable or hard to access in third-party monolithic software products. Addressing these conc

Handbook of Statistical Genetics

Handbook of Statistical Genetics
Author: David J. Balding
Publisher: John Wiley & Sons
Total Pages: 1616
Release: 2008-06-10
Genre: Science
ISBN: 9780470997628

The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Managing Your Biological Data with Python

Managing Your Biological Data with Python
Author: Allegra Via
Publisher: CRC Press
Total Pages: 560
Release: 2014-03-18
Genre: Computers
ISBN: 1439880948

Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

Introduction to Biological Networks

Introduction to Biological Networks
Author: Alpan Raval
Publisher: CRC Press
Total Pages: 329
Release: 2016-04-19
Genre: Computers
ISBN: 1420010360

The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi

Meta-analysis and Combining Information in Genetics and Genomics

Meta-analysis and Combining Information in Genetics and Genomics
Author: Rudy Guerra
Publisher: CRC Press
Total Pages: 354
Release: 2016-04-19
Genre: Mathematics
ISBN: 142001062X

Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative infor

Computing Handbook, Third Edition

Computing Handbook, Third Edition
Author: Teofilo Gonzalez
Publisher: CRC Press
Total Pages: 2330
Release: 2014-05-07
Genre: Mathematics
ISBN: 1439898529

Computing Handbook, Third Edition: Computer Science and Software Engineering mirrors the modern taxonomy of computer science and software engineering as described by the Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE-CS). Written by established leading experts and influential young researchers, the first volume of this popular handbook examines the elements involved in designing and implementing software, new areas in which computers are being used, and ways to solve computing problems. The book also explores our current understanding of software engineering and its effect on the practice of software development and the education of software professionals. Like the second volume, this first volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.

Gene Expression Studies Using Affymetrix Microarrays

Gene Expression Studies Using Affymetrix Microarrays
Author: Hinrich Gohlmann
Publisher: CRC Press
Total Pages: 361
Release: 2009-07-15
Genre: Science
ISBN: 1420065165

The Affymetrix GeneChip system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular biologist and a biostatistician with a combined decade of

Computational Exome and Genome Analysis

Computational Exome and Genome Analysis
Author: Peter N. Robinson
Publisher: CRC Press
Total Pages: 575
Release: 2017-09-13
Genre: Computers
ISBN: 1498775993

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline.