Luisa F. Pallares

The paper examines how environmental stress affects gene expression variability and reveals genetic regulation of this variability in Drosophila.

This study uses longitudinal sequencing in Drosophila to show that genomic response to selection involves both polygenic shifts and epistatic interactions, with DEGs enriched for selected SNPs.

This study uses the stochastic block model to analyze gene co-expression networks in Drosophila, finding more complex structures than traditional modular models.

The paper analyzes gene expression variance across 57 RNA-seq datasets to show that transcriptional variance is consistent across tissues and linked to gene function, sequence variation, and regulatory features.

The paper maps eQTLs in Drosophila melanogaster using an outbred panel, identifying cis and trans regulatory loci for most expressed genes and revealing non-modular gene co-expression networks.

This paper introduces a low-cost method to validate SNP-level genetic effects in outbred populations, demonstrating its utility in Drosophila for longevity traits.

This study investigates behavioral variation within a genotype in Drosophila, finding sparse correlations between behaviors and showing that gene expression can predict positions on some behavior axes.

TM3seq is a cost-effective and high-throughput RNA-seq library preparation protocol that preserves sample identity and matches commercial kit performance.