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DSTC-01548 Online (e-LMS) Foundation

Hands-On AMR Course: Detecting Resistance Genes Using BLAST & NCBI

by - DSTC

Detect antimicrobial-resistance genes from sequence data with BLAST.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 3 Days ยท 4.5 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ’ป Software & Environment Setup

Antimicrobial Resistance (AMR)

The computational toolchain and environment used throughout Hands-On AMR Course: Detecting Resistance Genes Using BLAST & NCBI.

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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 Hands-On AMR Course: Detecting Resistance Genes Using BLAST & NCBI

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

View full course โ†’

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.

The proforma invoice is emailed here as well as to you.
๐Ÿ“„ Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

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