Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis
by Mary Qu Yang, Jack Y. Yang
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 2, No. 2, 2009

Abstract: Effective analysis of the next-generation sequence relies on the intelligent algorithms for handling the meta-genome, epigenetic and disease genome, as well as immune-genome, viral profiling, transcriptome profiling, and de novo genome sequencing data, therefore, next-generation sequence analysis is a very important but challenging task in bioinformatics due to extremely large-scale 'noisy' datasets. We focus mainly on the development of high-performance genetic algorithms based on multi-core technology as an example and open to fast-moving competing platforms to be emerged.

Online publication date: Sat, 03-Oct-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Biology and Drug Design (IJCBDD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com