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Building Bioinformatics Solutions

By: Contributor(s): Material type: TextTextPublication details: Oxford, United Kingdom Oxford University Press 2014Edition: 2nd edDescription: xiii, 350 pages : illustrations ; 26 cmISBN:
  • 9780199658565
Subject(s): DDC classification:
  • 572.0285 BES-B
Contents:
1. Introduction ; 2. Building Biological Databases with SQL ; 3. Beginning Programming in Perl ; 4. Numerical data analysis using R ; 5. Developing Web Resources ; 6. Software Engineering for Bioinformatics ; Appendix A: Using Command Line Interfaces ; Appendix B: Getting started with Apache HTTP Server ; Appendix C: Setting up a Linux Virtual Machine in Windows
Summary: Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformatics problems is common to many projects. This unique book provides an invaluable introduction to three of the main tools used in the development of bioinformatics software - Perl, R and MySQL - and explains how these can be used together to tackle the complex data-driven challenges that typify modern biology. These industry standard open source tools form the core of many bioinformatics projects, both in academia and industry. The methodologies introduced are platform independent, and all the examples that feature have been tested on Windows, Linux and Mac OS.Building Bioinformatics Solutions is suitable for graduate students and researchers in the life sciences who wish to automate analyses or create their own databases and web-based tools. No prior knowledge of software development is assumed. Having worked through the book, the reader should have the necessary core skills to develop computational solutions for their specific research programmes. The book will also help the reader overcome the inertia associated with penetrating this field, and provide them with the confidence and understanding required to go on to develop more advanced bioinformatics skills.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 572.0285 BES-B (Browse shelf(Opens below)) Available DCB2541

1. Introduction ; 2. Building Biological Databases with SQL ; 3. Beginning Programming in Perl ; 4. Numerical data analysis using R ; 5. Developing Web Resources ; 6. Software Engineering for Bioinformatics ; Appendix A: Using Command Line Interfaces ; Appendix B: Getting started with Apache HTTP Server ; Appendix C: Setting up a Linux Virtual Machine in Windows

Bioinformatics encompasses a broad and ever-changing range of activities involved with the management and analysis of data from molecular biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformatics problems is common to many projects. This unique book provides an invaluable introduction to three of the main tools used in the development of bioinformatics software - Perl, R and MySQL - and explains how these can be used together to tackle the complex data-driven challenges that typify modern biology. These industry standard open source tools form the core of many bioinformatics projects, both in academia and industry. The methodologies introduced are platform independent, and all the examples that feature have been tested on Windows, Linux and Mac OS.Building Bioinformatics Solutions is suitable for graduate students and researchers in the life sciences who wish to automate analyses or create their own databases and web-based tools. No prior knowledge of software development is assumed. Having worked through the book, the reader should have the necessary core skills to develop computational solutions for their specific research programmes. The book will also help the reader overcome the inertia associated with penetrating this field, and provide them with the confidence and understanding required to go on to develop more advanced bioinformatics skills.

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