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DSTC-A63 Online (e-LMS) Foundation

Introduction to Antimicrobial Resistance Analysis

by - Dr. Aishwarya Arun Andhare

Master Introduction to Antimicrobial Resistance Analysis in 4 weeks through hands-on, project-based online training with DSTC.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 4 Weeks ยท 40 hrs โ€ข e-Certificate Included
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From โ‚น200 + GST

๐Ÿ’ป Software & Environment Setup

Antimicrobial Resistance (AMR)

The computational toolchain and environment used throughout Introduction to Antimicrobial Resistance Analysis.

Introduction antimicrobial resistance analysis courseIntroduction antimicrobial resistance analysis online trainingBest introduction antimicrobial resistance analysis certificationIntroduction antimicrobial resistance analysis for researchersIntroduction antimicrobial resistance analysis hands-on workshopLearn introduction antimicrobial resistance analysis
# 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 Introduction to Antimicrobial Resistance Analysis

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.

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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