Assess students' ability to analyze time-series RNA-seq for inferring causal gene regulatory interactions and identifying network motifs: specify preprocessing and normalization steps, justify choice of dynamic inference methods (e.g., Granger causality, dynamic Bayesian networks, ODE fitting, transfer entropy), describe motif detection and statistical significance testing, discuss experimental design (sampling frequency, replicates, perturbations), address noise and confounding, and propose validation and benchmarking strategies; interpret results and limitations.