Allissa Dillman

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

The paper analyzes RNA-seq data from children with malaria and COVID-19 to identify differentially expressed genes and potential biomarkers distinguishing the two infections.

This study analyzes HIV-1 genetic diversity in Sub-Saharan African countries using whole-genome sequences to identify subtype-specific polymorphisms and cross-border genetic exchange.

The paper investigates how APOE4 affects bioenergetic pathways in specific brain regions of aged mice, finding region-specific differences that may contribute to Alzheimer's disease risk.

GeneHummus is an R-based pipeline for automated gene family identification and expression analysis in plants, reducing manual effort while maintaining accuracy.

The paper shows that 5caC enhances CTCF binding to suboptimal sequences and identifies ~13,000 new CTCF binding sites in a cellular model with high 5caC levels.

The paper describes a hackathon where bioinformatician teams developed open-source genomic analysis pipelines for DNA-seq, epigenomics, metagenomics, and RNA-seq using publicly available or soon-to-be-submitted data.