Services available

  • Transcriptomic analysis for identifying the major components in gene regulation of interest:

    • Classical transcriptomic analysis: Sequence data preprocessing, quality control, differential express gene analysis, GO enrichment analysis, pathway enrichment analysis. Ortholog analysis for cross-species by integrating the experimental data of genomic variants.
    • AI modelling: Simulations with AI models with different complexities for discovering patterns of the features and the target variable of interest, and identifying the key combination of components for bioproduction optimisation.


  • Simulation with public datasets for pre-test run evaluations:

    • Data mining, labelling and curation of datasets: Using public data resources for AI modelling and transfer learning.

What you will get

  • Comprehensive analytical reports detailing key findings and actionable insights.
  • Visualizations for easier interpretation of complex biological data.
  • Predictive models validated and fine-tuned using cutting-edge AI techniques.
  • Recommendations for further experimental design and validation.

Data requirements

  • High-quality sequence data (e.g., RNA-Seq, DNA-Seq)
  • Metadata describing sample characteristics and experimental conditions.
  • Clearly defined objectives and hypotheses to guide analysis and modelling.
  • Availability of relevant reference genomes and annotations (if applicable).