Computational Tools

Open-Source Packages and tools

Computational Tools & Data Science

Our lab develops open-source software and packages to answer scientific questions:

Toxfit

In Silico Cytotoxicity Assessment

An innovative kinetic simulation framework developed to capture and evaluate the temporal and dose-dependent effects of chemical exposure. By reading cell impedance dynamics, Toxfit computes precise 50% inhibitory concentrations ($IC_{50}$) while directly accounting for background cell turnover rates.

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ZEB1CRC

Single-Cell Data Infrastructure

A specialized multi-omics data package containing single-cell profiling data tailored to explore ZEB1-dependent modulation of fibroblast polarization. This resource maps out the core molecular mechanics governing inflammation boundaries and immune checkpoint blockade sensitivity in colorectal cancer.

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Past Research Work (Archived)

Early computational models and simulation frameworks:

Bee Population Simulator

Population Genetics Simulation

A computational framework designed for simulating base populations in honey bees (Apis mellifera) to support molecular genetic studies, mapping population structures, and evaluating breeding dynamics.

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Genomic Selection Models

Quantitative Genetics & Composite Traits

Simulation workflows evaluating the accuracy of the unified approach in composite traits, heavily applied to modeling varroa-specific defense behaviors and genetic architectures in honey bees.

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