A computational survey of candidate exonic splicing enhancer motifs in the model plant Arabidopsis thaliana

doi:10.1186/1471-2105-8-159

BMC Bioinformatics

Volume 8

Viewing options:

Abstract
Full text
PDF (446KB)
Additional files

Associated material:

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Pertea M
Mount SM
Salzberg SL

on PubMed

Pertea M
Mount SM
Salzberg SL
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Research article

A computational survey of candidate exonic splicing enhancer motifs in the model plant Arabidopsis thaliana

Mihaela Pertea¹ , Stephen M Mount¹^,2 and Steven L Salzberg¹

¹Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA

²Dept. of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA

author email corresponding author email

BMC Bioinformatics 2007, 8:159doi:10.1186/1471-2105-8-159


Published:	21 May 2007

Additional files

Additional file 1:

Hexamer motifs predicted as ESEs at the 5' (column 2) and 3' (column3) ends of internal exons from the ESEAra data set. Significance of the motif representation in the data (p-value) as computed by ELPH is shown for each predicted ESE, as well as an estimation of how larger is the frequency of selecting the motif in test vs. control sequences (mean rank), for 1000 sampling steps.

Format: XLS Size: 23KB Download file

This file can be viewed with: Microsoft Excel Viewer