Gary Hardiman

This paper evaluates three fusion gene prediction tools for detecting TMPRSS2::ERG in prostate cancer cell lines using RNA sequencing data.

The paper presents a step-by-step pipeline for processing and analyzing RRBS data to study DNA methylation in cancer.

This paper introduces foundational steps for analyzing spatial transcriptomic data from 10X Visium, focusing on clustering, spatially variable gene discovery, and cell-cell communication.

This study identifies genetic loci associated with opioid use disorder-related behaviors in rats using a genome-wide association approach and network-based clustering.

This study uses a non-linear clustering approach in rats to identify distinct behavioral and neuronal profiles associated with heroin vulnerability and resiliency, reflecting human opioid use disorder heterogeneity.

This study shows spaceflight induces strain-dependent gene expression changes in mouse kidneys, linked to lipid and extracellular matrix dysregulation, with C57BL/6J mice showing a stronger response.

This study shows that long-access heroin self-administration in rats reduces grey matter volume in specific brain regions and alters microglia morphology, suggesting a link between neuroinflammation and structural brain changes.

The paper describes a standardized RNA-Seq pipeline for spaceflight data, enabling reproducible analysis of gene expression changes in astronauts and organisms exposed to spaceflight.

The paper identifies differential DNA methylation in skin fibroblasts from African American systemic sclerosis patients, linking it to immune and metabolic pathways.