Paul S. Albert

GFBioNet identifies genomic factors modulating trait-trait relationships in multi-omics data, revealing host genetics, microbial taxa, and mutations affecting biological networks.

The paper identifies rare germline copy-number variants associated with retinoblastoma risk outside the RB1 gene using whole-genome sequencing and statistical analysis.

The paper identifies a Neandertal introgressed haplotype in the OAS1 gene associated with increased risk of severe COVID-19 and shows it impairs SARS-CoV-2 clearance through genetic regulation of OAS1 expression.

This study finds that genetic variants affecting IFN-λ4 production are linked to increased risk and earlier occurrence of gastrointestinal, respiratory, and malaria infections in Malian children.

hsegHMM is a hidden Markov model for allele-specific copy number analysis that addresses hypersegmentation, outperforming FACETS in uneven coverage scenarios.

The paper introduces q2-longitudinal, a QIIME 2 plugin for analyzing longitudinal and paired microbiome data, offering methods like linear mixed effects models and volatility analysis.