Amanda N. Scholes

The paper shows that Hog1 in wild S. cerevisiae strains has a broader stress response than in lab strains, with distinct non-osmotic stress gene regulation.

This paper uses machine learning on microscopy images to predict microbial community taxonomic diversity and dominant bacterial classes, achieving high accuracy and low error.

This study identifies molecular mechanisms underlying stress resistance in yeast by analyzing natural genetic variation and cross protection responses to different stressors.

This study compares RNA isolation methods and finds phenol extraction preferentially isolates membrane-associated mRNAs, causing spurious differential expression signals in RNA-seq analyses across batches.

The paper links gene expression variation to a stress defense trait in yeast by identifying a QTL hotspot locus affecting ethanol-induced cross protection.