English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Alignment Statistics for Long-Range Correlated Genomic Sequences

Messer, P. W., Bundschuh, R., Viingron, M., & Arndt, P. F. (2006). Alignment Statistics for Long-Range Correlated Genomic Sequences. Berlin/Heidelberg: Springer.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-83C1-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-83C2-0
Genre: Proceedings

Files

show Files
hide Files
:
fulltext.pdf (Any fulltext), 685KB
 
File Permalink:
-
Name:
fulltext.pdf
Description:
-
Visibility:
Restricted (Max Planck Institute for Molecular Genetics, Berlin; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
eDoc_access: MPG
License:
-

Locators

show

Creators

show
hide
 Creators:
Messer, Philipp W.1, Author
Bundschuh, Ralf, Author
Viingron, Martin1, Author
Arndt, Peter F.2, Author              
Affiliations:
1Max Planck Society, ou_persistent13              
2Evolutionary Genomics (Peter Arndt), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479638              

Content

show
hide
Free keywords: -
 Abstract: It is well known that the base composition along eukaryotic genomes is long-range correlated. Here, we investigate the effect of such long-range correlations on alignment score statistics. We model the correlated score-landscape by means of a Gaussian approximation. In this framework, we can calculate the corrections to the scale parameter λ of the extreme value distribution of alignment scores. To evaluate our approximate analytic results, we perform a detailed numerical study based on a simple algorithm to efficiently generate long-range correlated random sequences. We find that the mean and the exponential tail of the score distribution are in fact influenced by the correlations along the sequences. Therefore, the significance of measured alignment scores in biological sequences will change upon incorporation of the correlations in the null model.

Details

show
hide
Language(s): eng - English
 Dates: 2006-08-12
 Publication Status: Published in print
 Pages: 612
 Publishing info: Berlin/Heidelberg : Springer, 1st edition
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 311242
ISBN: 978-3-540-33295-4
DOI: 10.1007/11732990_36
 Degree: -

Event

show
hide
Title: 10th Annual International Conference, RECOMB 2006
Place of Event: Venice, Italy
Start-/End Date: 2006-04-02 - 2006-04-05

Legal Case

show

Project information

show

Source 1

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Hofmann, Alfred, Editor
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: 3909/2006 Sequence Number: - Start / End Page: - Identifier: -