Daniel Lobo

This study investigates how feedback between morphogen signaling and cellular growth regulates stable tissue shapes through computational simulations.

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

This study investigates how planarian body shape changes during growth and degrowth, showing isometric scaling and the role of signaling feedback loops in maintaining shape.

This paper presents an automated method to design gene regulatory mechanisms that produce spatial patterns using two morphogen gradients and evolutionary computation.

mergem merges and compares genome-scale metabolic models using universal identifiers to enable comparison across different pipelines and namespaces.

This paper introduces a method to automatically generate interactive phase portraits for biological dynamical systems described by ordinary differential equations.