[R] sliding window approach

From: Joćo Fadista <Joao.Fadista_at_agrsci.dk>
Date: Tue, 15 May 2007 11:23:37 +0200

Dear all,  

I would like to know if there is any R package that uses a sliding window approach to assess statistical significance out of my data. My data is composed of DNA sequences (of variable length) that are mapped to a genome with a determined score of alignment.  

So, I want to see if I can find more tags in a given region of the genome as opposed to finding them by chance. In this sliding window I would like to be able to calculate a p-value for the amount of tags found, compared to the number of tags I would expect to find by chance.  

P.S. If you know, please recommend other tools that I could use for graphical assessment of p-values from this sliding window approach.    

Best regards

Joćo Fadista
Ph.d. student          

Faculty of Agricultural Sciences
Dept. of Genetics and Biotechnology
Blichers Allé 20, P.O. BOX 50
DK-8830 Tjele          

Phone:	 +45 8999 1900	
Direct:	 +45 8999 1900	
E-mail:	 Joao.Fadista_at_agrsci.dk <mailto:Joao.Fadista_at_agrsci.dk> 	
Web:	 www.agrsci.org <http://www.agrsci.org/> 	

News and news media <http://www.agrsci.org/navigation/nyheder_og_presse> .

This email may contain information that is confidential. Any use or publication of this email without written permission from Faculty of Agricultural Sciences is not allowed. If you are not the intended recipient, please notify Faculty of Agricultural Sciences immediately and delete this email.

        [[alternative HTML version deleted]]

R-help_at_stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Tue 15 May 2007 - 09:30:30 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Tue 15 May 2007 - 09:31:33 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.