Scientific software development

Modern science is nowhere without software. We develop new solutions or tailor existing ones to your needs. Keywords are free/open source software, R, C++, Python. With the arrival of big data in the life sciences software has come to the forefront of attention. We have expertise in creating software for data analysis as well as supporting and improving existing (open source) software packages. Our company GitHub page can be found here.

As a service to the community PolyOmica coordinates the open source/open methods/open science “GenABEL project for statistical genomics”1, of which the company currently is the largest sponsor. Some of the packages in the GenABEL suite are:


Karssen LC, van Duijn CM, Aulchenko YS. The GenABEL Project for statistical genomics. F1000Res. 2016;5:914. doi: 10.12688/f1000research.8733.1
Aulchenko YS, Ripke S, Isaacs A, van Duijn CM. GenABEL: an R library for genome-wide association analysis. Bioinformatics. 2007;23(10):1294-1296. doi: 10.1093/bioinformatics/btm108
Aulchenko YS, Struchalin MV, van Duijn CM. ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinformatics. 2010;11(1):134. doi: 10.1186/1471-2105-11-134
Fabregat-Traver D, Sharapov SZ, Hayward C, et al. High-Performance Mixed Models Based Genome-Wide Association Analysis with omicABEL software. F1000Res. August 2014. doi: 10.12688/f1000research.4867.1