tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

R/qtl

Online

Allows users to map quantitative trait loci (QTL) in experimental crosses. R/qtl is a comprehensive QTL mapping toolbox for the analysis of experimental populations. The software provides several methods for various experimental cross types. It includes permutation strategies for determining thresholds of significance relevant for QTL and QTL hot spots.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

R/qtl forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

R/qtl versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.

No versioning.

R/qtl classification

R/qtl specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0, GNU General Public License version 2.0
Version:
1.41-6

R/qtl support

Documentation

Maintainer

  • Karl W. Broman <>

Additional information

Homepage: http://www.rqtl.org/ Tutorials: http://www.rqtl.org/tutorials/

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Groningen Bioinformatics Centre, University of Groningen, Groningen, The Netherlands; Department of Nematology, Wageningen University, Wageningen, The Netherlands; Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA

Funding source(s)

Supported by National Institutes of Health (GM074244), the Netherlands Organisation for Scientific Research/TTI Green Genetics (1CC029RP), the Centre for BioSystems Genomics (CBSG), the Netherlands Consortium of Systems Biology (NCSB), both of which are part of the Netherlands Genomics Initiative / Netherlands Organisation for Scientific Research and the EU 7th Framework Programme under the Research Project PANACEA (222936).

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.