Rachel C.W. Chan

This paper introduces a semi-supervised method for genome annotation that improves accuracy by incorporating expert annotations and evaluates it using a new precision and recall metric.

The paper introduces STROBE, a closed-loop optogenetic system for controlling feeding behavior in Drosophila, showing it can drive attraction or avoidance based on sensory neuron activation.

Segway 2.0 improves genome annotation by using Gaussian mixture models and minibatch training for more accurate signal pattern discovery.

The paper describes using Segway software to annotate genomes with chromatin data from ChIP-seq experiments, providing a semi-automated workflow for interpretation.