Alexandra Zhernakova

Oct 17, 2024 | biorxiv.org | Nataliia Kuzub |Alexander Kurilshikov |Alexandra Zhernakova |Sanzhima Garmaeva

AbstractEnvironmental contamination complicates the study of low-biomass microbial communities like the human gut virome. In 1,321 early-life gut viromes and 55 negative controls (NCs) from four datasets, we identified viral contaminants and their prevalence across studies.

Jan 22, 2024 | genomebiology.biomedcentral.com | Martijn Vochteloo |Patrick Deelen |Ellen A. Tsai |Heiko Runz |Sergio Andreu-Sánchez |Jingyuan Fu | +4 more

PICALO is an EM-based algorithm for the identification of known and unknown contexts that influence the regulatory effect of genetic variants on gene expression. PICALO takes as input a set of eQTLs and their corresponding expression and genotype data, as well as a set of starting positions (e.g., potential context components). Optional arguments allow for the correction of technical covariates both with and without an interaction term.