The application of alternative splicing graphs in quantitative analysis of alternative splicing form from EST database Online publication date: Fri, 15-Apr-2005
by Hsun-Chang Chang, Po-Shun Yu, Tze-Wei Huang, Fang-Rong Hsu, Yaw-Ling Lin
International Journal of Computer Applications in Technology (IJCAT), Vol. 22, No. 1, 2005
Abstract: Alternative splicing is an important mechanism for generating protein diversity from a single gene. However, standard molecular biology techniques have only identified several hundred alternative splicing variants and created a bottleneck in terms of experimental validation. In this paper, we propose models of weighted alternative splicing graphs and ways of generating all alternative splicing forms from an alternative splicing graph. By formulating linear programming models, we can deduce the quantitative distributions of various alternative splicing forms. Linear time algorithms that produce all alternative splicing variants with their corresponding probabilities are proposed. Finally, by aligning sequences of EST databases to the genomic data, locations of exons as well as the alternative splicing sites can be identified, and several sets of putative alternative splicing forms is inferred using these methods.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Computer Applications in Technology (IJCAT):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook