Building Bioinformatics Solutions (2nd Edition)

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Bioinformatics for biologists.

Life in the Lab: A DNA sequencing pipeline

Bioinformatics for dummies 2nd ed. Claverie, Jean-Michel. A bioinformatics guide for molecular biologists. Bioinformatics programming using Python. Model, Mitchell L. Bessant, Conrad. Cell biology : translational impact in cancer biology and bioinformatics. Mitchell, Maika. Discovering genomics, proteomics, and bioinformatics 2nd ed. Campbell, A. Email can not be empty. Password can not be empty.

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Buyers may be subject to additional charges for customs clearance. For additional information, see the Global Shipping Program terms and conditions - opens in a new window or tab No additional import charges on delivery Delivery: Estimated between Tue. Payments: Special financing available. An error occurred, please try again. Good : A book that has been read but is in good condition. Modern 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.

Building Bioinformatics Solutions provides a comprehensive introduction to this methodology, explaining how to acquire and use the most popular development tools, howto apply them to build processing pipelines, and how to make the results available through visualisations and web-based services for deployment either locally or via the Internet. The main development tools covered in this book are the MySQL database management system, the Perl programming language, and the R language for statistical computing.

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. This advanced textbook 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.

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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. Automating Processes Using Perl4. Numerical data analysis using R5.


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