VikNGS is a freely available, user friendly C++ package that uses the RVS methodology to remove the bias in genetic association due to differences in sequencing parameters when combining external NGS data. VikNGS now enables RVS analysis that adjusts for covariates, conducts flexible power analyses and enables combination of NGS from multiple groups for both quantitative and binary trait analysis.
Documentation can be found at https://vikngsdocs.readthedocs.io/en/latest/
The source code and package can be found at https://github.com/ScottMastro/vikNGS
Zeynep Baskurt, Scott Mastromatteo, Jiafen Gong and Lisa Strug
VikNGS: A C++ Variant Integrating Kit for Next Generation Sequencing across Research studies for robust rare and common variant association analysis
Presenting at 11:30-1:30pm on Oct 20, 2017, ASHG, Orlando, USA
Derkach, A et al.
Association Analysis Using Next Generation Sequence Data from Publicly Available Control Groups: The Robust Variance Score Statistic.
Bioinformatics 30 (15): 2179-2188 first published online April 14, 2014. PMID:24733292
Baskurt, Z et al.
VikNGS: A C++ Variant Integration Kit for Next Generation Sequencing Association Analysis.
Bioinformatics Advance publication date: 3 October 2019. PMID:31580400
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