Claes Wahlestedt

The paper develops a large-scale blood transcriptomic resource for Alzheimer's disease, identifies sex-specific differences, and models insulin resistance biomarkers using machine learning.

This study shows that acute aerobic exercise improves memory through DNA damage and repair mechanisms, suggesting a potential therapeutic target for Alzheimer's disease.

The paper identifies ncRNA genes regulated during skeletal muscle hypertrophy in 144 individuals using transcriptomic analysis and network modelling.

This study shows methamphetamine induces long-term transcriptional and morphological changes in microglia that contribute to drug-seeking behavior and may inform treatment strategies for methamphetamine use disorder.

geneXtendeR improves ChIP-seq peak annotation by considering multiple gene associations and adjusting for peak variability, enhancing functional interpretation.

SUPERmerge analyzes ChIP-seq read pileups to identify coverage islands in broad histone mark datasets at single base pair resolution.

shinyheatmap provides a fast, low-memory heatmap tool for visualizing large genomics datasets, enabling interactive and customizable visualizations in web browsers.

The paper analyzes codon usage across 2730 genomes to reveal evolutionary patterns and suggests that codon usage variation is driven by lateral DNA transfer and two distinct codon usage patterns.