Scientific software development
Modern science is nowhere without software. We develop new bioinformatics solutions or tailor existing ones to your needs. Keywords are free/open source software, R, Shiny, 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 is the former coordinator of the open source/open methods/open science “GenABEL project for statistical genomics”1. Some of the packages in the GenABEL suite are:
- GenABEL2 (development page on R-forge)
- ProbABEL3 (development page on GitHub )
- OmicABEL4 (development page on GitHub)
References
1. Karssen LC, van Duijn CM, Aulchenko YS. The GenABEL Project for statistical genomics. F1000Res. 2016;5:914. doi: 10.12688/f1000research.8733.1
2. 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
3. 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
4. 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
