Building Bioinformatics Solutions
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780199658565
- 572.0285 BES-B
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 572.0285 BES-B (Browse shelf(Opens below)) | Available | DCB2541 |
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572 VIJ-I Informatics Bioinformatics Molecular Biology | 572.015118 BOW-C Computional Modeling of Genetic and Biomedical Network | 572.028 JAY-L Laboratory Manual in Biochemistry | 572.0285 BES-B Building Bioinformatics Solutions | 572.0285 CHA-C Computational Chemistry | 572.0285 COM Computational Intelligence in Bioinformatics | 572.0285 EVO Evolutionary Computation In Bioinformatics |
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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