Skip Navigation


Bioinformatics Advance Access originally published online on April 26, 2007
Bioinformatics 2007 23(13):1683-1685; doi:10.1093/bioinformatics/btm157
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
23/13/1683    most recent
btm157v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Kofler, R.
Right arrow Articles by Lelley, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kofler, R.
Right arrow Articles by Lelley, T.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

SciRoKo: a new tool for whole genome microsatellite search and investigation

Robert Kofler 1,*, Christian Schlötterer 2,3 and Tamas Lelley 1

1University of Natural Resources and Applied Life Sciences, Department for Agrobiotechnology IFA-Tulln, Institute of Biotechnology in Plant Production, Konrad Lonrenz Straße 20, 3430 Tulln, 2Institut für Ökologie, Universität Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria and 3Institut für Tierzucht and Genetik, Veterinärmedizinische Universitat Wien, Josef Baumann Gasse 1, 1210 Wien, Austria

*To whom correspondence should be addressed.


  Abstract

Summary: SciRoKo is a user-friendly software tool for the identification of microsatellites in genomic sequences. The combination of an extremely fast search algorithm with a built-in summary statistic tool makes SciRoKo an excellent tool for full genome analysis. Compared to other already existing tools, SciRoKo also allows the analysis of compound microsatellites.

Availability: free for use: www.kofler.or.at/Bioinformatics

Contact: robert.kofler{at}boku.ac.at

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Alex Bateman

Received on February 22, 2007; revised on April 12, 2007; accepted on April 17, 2007

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Brief BioinformHome page
A. Merkel and N. Gemmell
Detecting short tandem repeats from genome data: opening the software black box
Brief Bioinform, September 1, 2008; 9(5): 355 - 366.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.