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



Performs linkage and association mappings of the quantitative trait loci (QTLs) in pedigrees of arbitrary size and complexity. solarius allows the user to exploit the variance component methods implemented in SOLAR. It automates such routine operations as formatting pedigree and phenotype data. It also parses the model output and contains summary and plotting functions for exploration of the results. In addition, solarius enables parallel computing of the linkage and association analyses, that makes the calculation of genome-wide scans more efficient.

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.

solarius 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.

solarius 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.

solarius classification

solarius specifications

Software type:
Restrictions to use:
Programming languages:
Computer skills:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
GNU General Public License version 3.0
Source code URL:

solarius support



  • Andrey Ziyatdinov <>


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



Unitat de Genòmica de Malalties Complexes, Institut d’Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain; Department of Genetics Medicine and Development, University of Geneva Medical School, Geneva, Switzerland; B2SLab, Department d’Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain; CIBER in Bioengineering, Biomaterials and Nanomedicine, Spain

Funding source(s)

This research was funded by the TEC2013-44666-R grant. This work was partially funded by the 2014SGR-2016 consolidated research group of the Generalitat de Catalunya, Spain. CIBER-BBN is an initiative of the Spanish ISCIII. This research was supported partially by grants PI-11/0184, PI-14/0582 and UIN2013-50833 from the Instituto Carlos III (Fondo de Investigación Sanitaria - FIS).

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