Andrew John Millar

The paper quantifies metadata richness in three biological repositories using NLP metrics, finding differences in word count, information density, and entity consistency across repositories.

This study tracks the increase in open data practices in biosciences at the University of Edinburgh from 2014 to 2023, showing a rise in data-sharing completeness and FAIRness.

The paper refactors plant circadian clock models to absolute units, predicts high clock protein levels in Arabidopsis, and identifies discrepancies in DNA-binding constants.

The paper updates a circadian clock model for Arabidopsis to predict phenotype effects of gene mis-regulation using metabolic and physiological data.

The paper presents circadian proteomic and phosphoproteomic data from Arabidopsis thaliana, showing that most rhythmic phosphorylation occurs at subjective dawn and is controlled by the clock gene circuit.

The paper validates a gene network model of the plant circadian clock by incorporating absolute transcription rates and testing against experimental data.

This paper demonstrates that NanoLUC is a viable alternative to firefly luciferase for studying protein dynamics in plants, particularly for long-term and stable measurements.

This study shows that altering light:dark cycles can restore circadian rhythm sensitivity in Arabidopsis thaliana lhy cca1 mutants, revealing residual clock function independent of LHY and CCA1.

This study identifies PHYTOCHROME C as a temperature-specific regulator of the circadian clock in Arabidopsis, linking natural genetic variation in PHYC to circadian period differences.