World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×
Spring Sale: Get 35% off with a min. purchase of 2 titles. Use code SPRING35. Valid till 31st Mar 2025.

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

Chapter 11: Basic Algorithms for Bioinformatics

    https://doi.org/10.1142/9781848169258_0011Cited by:0 (Source: Crossref)
    Abstract:

    Algorithm is regarded as the key to open the door of bioinformatics. We will see how popular bioinformatics algorithms work and we will see what principles are behind their design. It is important to understand how an algorithm works in order to be confident in its results; it is even more important to understand an algorithm’s design methodology in order to find its weaknesses and improve them. In this chapter, principles of basic algorithms such as Graph Theory, Dynamic Programming, Hidden Markov Model, Neural Network and Clustering Analysis will be introduced together with some applications to show their power that solve biological problems.