Q: Do I need prior experience with digital twins?

A: No. The course starts with fundamentals and builds step‑by‑step, assuming only basic biotech knowledge.

Q: What software will I have access to?

A: All participants receive free licenses for the required bioinformatics tools and a 30‑day trial of the digital‑twin simulation platform.

Q: Is there a certification exam?

A: Completion of the hands‑on projects and a final quiz qualifies you for the DSTC e‑Certification and e‑Marksheet. Enroll in Bioinformatics-Driven Insights into Antimicrobial Resistance & HGT with Digital Twin-Based Bioreactor Design today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering biotechnology skills that matter.

💻 Software & Environment Setup

Antimicrobial Resistance (AMR)

The computational toolchain and environment used throughout Bioinformatics-Driven Insights into Antimicrobial Resistance & HGT with Digital Twin-Based Bioreactor Design.

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# Recommended conda environment
conda create -n dstc_env python=3.11 -y
conda activate dstc_env
pip install biopython pandas abricate-py scikit-learn

ABRicate / RGI
Resistance-gene detection

Prokka
Bacterial genome annotation

SPAdes
Genome assembly

R / ggplot2
Surveillance analytics & plots

Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.

Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.

Earn government-registered certification in Bioinformatics-Driven Insights into Antimicrobial Resistance & HGT with Digital Twin-Based Bioreactor Design

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.