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Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology)

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This unique text/reference describes the state of the art in computational gene finding, with a particular focus on comparative approaches. Providing both an overview of the various methods that are applied in the field, and a concise guide on how computational gene finders are built, the book covers a broad range of topics from probability theory, statistics, information theory, optimization theory and numerical analysis. Features: describes how algorithms and sequence alignments can be combined to improve the accuracy of gene finding; introduces the basic biological terms and concepts in genetics, and provides an historical overview of algorithm development; explores the gene features most commonly captured by a computational gene model; discusses the algorithms most commonly used for single-species gene finding; investigates approaches to pairwise and multiple sequence alignments; explains the basics of parameter training; illustrates how to implement a comparative gene finder.

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Forbes Best Business Mistakes: How Today's Top Business Leaders Turned Missteps into Success
Forbes Best Business Mistakes: How Today's Top Business Leaders Turned Missteps into Success

Today's top business leaders reveal how to make even the biggest mistakes work for you

Forbes Best Business Mistakes reveals practical lessons from some of today's most successful business leaders to show you how to turn a bad business situation into a success.

Based on exclusive sit-down interviews...

Kinect Hacks: Tips & Tools for Motion and Pattern Detection
Kinect Hacks: Tips & Tools for Motion and Pattern Detection
The way we interact with machines is always changing. As technology evolves, new ways of interacting with computers become available to us, one innovative breakthrough after the next. If we go back 10 years, RIM was just starting to implement phone capabilities into their line of Blackberry mobile devices. Now we...
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms

The origin of evolutionary algorithmswas an attempt tomimic some of the processes taking place in natural evolution. Although the details of biological evolution are not completely understood (even nowadays), there exist some points supported by strong experimental evidence:

• Evolution is a process operating over chromosomes...


Introduction to Design Patterns in C++ with Qt (2nd Edition)
Introduction to Design Patterns in C++ with Qt (2nd Edition)

I still remember how I first got to know C++ and Qt. It was around 15 years ago while working on my diploma thesis. Most of the development we did at that time was done in Fortran and C. I was working on a Linux system with FVWM as a window manager. One day I read an article about KDE—a cool, new open source project...

PHP Object-Oriented Solutions
PHP Object-Oriented Solutions
With the surge of popularity of PHP 5, and with PHP 6 just around the corner, Object-Oriented Programming is now an important consideration for PHP developers. This version-neutral book is a gentle introduction to Object-Oriented Programming (OOP) that wont overburden you with complex theory. It teaches you the essential basics of OOP that youll...
Programming iOS 6
Programming iOS 6

Get a solid grounding in all the fundamentals of Cocoa Touch, and avoid problems during iPhone and iPad app development. With this revised and expanded edition, you’ll dig into Cocoa and learn how to work effectively with Objective-C and Xcode. This book covers iOS 6 in a rigorous, orderly fashion—ideal whether...

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