Kai Kammers

This study identifies a sex-specific genetic variant affecting platelet aggregation in response to low-dose epinephrine across multiple cohorts.

The paper develops gene expression prediction models for asthma-related tissues in African-ancestry populations and identifies 17 candidate causal asthma genes using transcriptome-wide association study.

The paper evaluates edgeR for PhIP-Seq data analysis and introduces BEER, a Bayesian framework for improved normalization and analysis.

The paper describes AnVIL, a cloud-based platform that enables genomic data analysis without data transfer, improving security, scalability, and collaboration.

The paper introduces AVARDA, a software package for analyzing VirScan data to deconvolute antiviral antibody responses, improving viral encephalitis diagnosis by 62.5% in a cohort.

The paper develops a linear model to estimate transcript-level abundances from reduced-representation RNA-seq data in recount2, evaluating it on simulated and real data.

recount provides a large-scale, processed RNA-seq resource with tools for analysis, including differential expression and meta-analysis, using data from the Sequence Read Archive.