Metagenomic Analysis of AMR and HGT

Course Overview

Mentor Based

Program Syllabus

Module 1

About This Course

Antimicrobial resistance and horizontal gene transfer are critical public health challenges, as they facilitate the emergence of multidrug-resistant pathogens. Metagenomics offers a powerful way to uncover resistance mechanisms and gene exchange within complex microbial ecosystems.
This workshop provides hands-on training in metagenomic sequence analysis, gene prediction, resistome profiling, and mobile genetic element identification. Participants will learn to use tools and databases such as CARD, MEGARes, ResFinder, and ICEberg for AMR detection, and employ AI and machine learning approaches for classifying and visualizing gene transfer events.

Module 2

Aim

This workshop aims to introduce participants to advanced computational and AI-driven approaches for analyzing antimicrobial resistance (AMR) and horizontal gene transfer (HGT) using metagenomic datasets. The program will focus on data processing, functional gene annotation, and network-based prediction to understand the spread and evolution of resistance genes in microbial communities.

Module 3

Workshop Objectives

Understand AMR and HGT mechanisms and their relevance to microbial ecology and public health.
Learn metagenomic data processing — quality control, assembly, annotation, and classification.
Use computational tools (CARD, MEGARes, ResFinder) for resistome and mobilome profiling.
Apply AI/ML models for AMR prediction and HGT detection.
Develop data visualization and interpretation skills for metagenomic results.

Module 4

Day 1: Introduction & Data Pre-Processing

Overview of Metagenomics, Resistome, and HGT Mechanisms.
NGS data formats, Quality control using FastQC and Trimmomatic.
Hands-on: Metagenomic assembly using MEGAHIT / SPAdes.
Contig annotation using Prokka or MGnify workflows.

Module 5

Day 2: ARG and MGE Detection

Databases — MEGARes, CARD, DeepARG, and ResFinder.
Hands-on: Running DeepARG for ARG detection and abundance estimation.
Hands-on: Identifying plasmids and transposons using PlasFlow and MobileElementFinder.
Integrating ARG and MGE profiles for HGT potential assessment

Module 6

Day 3: Visualization & Interpretation

Hands-on: Visualization of ARG abundance using R (ggplot2) and Python (matplotlib/seaborn).
Comparative analysis of environmental vs. clinical resistomes.
Resistome diversity plots and HGT network maps.

Module 7

Who Should Enrol?

Undergraduate/Postgraduate degree in Microbiology, Biotechnology, Bioinformatics, Computational Biology, or related fields.
Professionals working in genomics, clinical microbiology, environmental microbiology, or infectious disease research.
Data scientists and AI/ML engineers aiming to apply computational models in biological and public health data.
Individuals interested in understanding microbial evolution, antibiotic resistance, and bioinformatics workflows.

Module 8

Important Dates

Module 9

Registration Ends

02/04/2026
IST 7:00 PM

Module 10

Workshop Dates

02/04/2026 – 02/06/2026
IST 8:00 PM

Module 11

Workshop Outcomes

Mastery of workflows for metagenomic analysis of AMR and HGT.
Ability to detect, annotate, and visualize resistance genes in microbial communities.
Understanding of AI-driven predictive modeling for resistance and transfer events.
Hands-on experience with CARD, MEGARes, and related databases.
Competence in integrating biological insights with computational results.

Module 12

Fee Structure

Module 13

Student Fee

₹1799 | $70

Module 14

Ph.D. Scholar / Researcher Fee

₹2799 | $80

Module 15

Academician / Faculty Fee

₹3799 | $95

Module 16

Industry Professional Fee

₹4799 | $110

Module 17

What You’ll Gain

Live & recorded sessions
e-Certificate upon completion
Post-workshop query support
Hands-on learning experience

Module 18

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Module 19

Publication Opportunity

Get published in a prestigious open-access journal.

Module 20

Centre of Excellence

Become part of an elite research community.

Module 21

Networking & Learning

Connect with global researchers and mentors.

Module 22

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Module 23

Need Help?

We’re here for you!

(+91) 120-4781-217

★★★★★

🌱 AI-Powered Life Cycle Assessment Dashboards

Thanks for the points raised, the only suggestion is to involve more interactive parts into the course.

Javad • 05/27/2025 at 1:59 pm

★★★★★

AI-Powered Multi-Omics Data Integration for Biomarker Discovery

Great course. Thank you very much.

Abdul Mueed Hafiz • 11/25/2025 at 2:55 pm

★★★★★

The Green NanoSynth Workshop: Sustainable Synthesis of NiO Nanoparticles and Renewable Hydrogen Production from Bioethanol

She was very professional, clear and precise. I thank him for his time and efforts. Thank you very much.

Jihar • 02/27/2025 at 1:53 pm

★★★★★

Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Raluca Ivan • 07/30/2024 at 12:32 pm

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Course Overview

Mentor Based

Program Syllabus

Module 1

About This Course

Module 2

Aim

Module 3

Workshop Objectives

Understand AMR and HGT mechanisms and their relevance to microbial ecology and public health.
Learn metagenomic data processing — quality control, assembly, annotation, and classification.
Use computational tools (CARD, MEGARes, ResFinder) for resistome and mobilome profiling.
Apply AI/ML models for AMR prediction and HGT detection.
Develop data visualization and interpretation skills for metagenomic results.

Module 4

Day 1: Introduction & Data Pre-Processing

Overview of Metagenomics, Resistome, and HGT Mechanisms.
NGS data formats, Quality control using FastQC and Trimmomatic.
Hands-on: Metagenomic assembly using MEGAHIT / SPAdes.
Contig annotation using Prokka or MGnify workflows.

Module 5

Day 2: ARG and MGE Detection

Databases — MEGARes, CARD, DeepARG, and ResFinder.
Hands-on: Running DeepARG for ARG detection and abundance estimation.
Hands-on: Identifying plasmids and transposons using PlasFlow and MobileElementFinder.
Integrating ARG and MGE profiles for HGT potential assessment

Module 6

Day 3: Visualization & Interpretation

Hands-on: Visualization of ARG abundance using R (ggplot2) and Python (matplotlib/seaborn).
Comparative analysis of environmental vs. clinical resistomes.
Resistome diversity plots and HGT network maps.

Module 7

Who Should Enrol?

Undergraduate/Postgraduate degree in Microbiology, Biotechnology, Bioinformatics, Computational Biology, or related fields.
Professionals working in genomics, clinical microbiology, environmental microbiology, or infectious disease research.
Data scientists and AI/ML engineers aiming to apply computational models in biological and public health data.
Individuals interested in understanding microbial evolution, antibiotic resistance, and bioinformatics workflows.

Module 8

Important Dates

Module 9

Registration Ends

02/04/2026
IST 7:00 PM

Module 10

Workshop Dates

02/04/2026 – 02/06/2026
IST 8:00 PM

Module 11

Workshop Outcomes

Mastery of workflows for metagenomic analysis of AMR and HGT.
Ability to detect, annotate, and visualize resistance genes in microbial communities.
Understanding of AI-driven predictive modeling for resistance and transfer events.
Hands-on experience with CARD, MEGARes, and related databases.
Competence in integrating biological insights with computational results.

Module 12

Fee Structure

Module 13

Student Fee

₹1799 | $70

Module 14

Ph.D. Scholar / Researcher Fee

₹2799 | $80

Module 15

Academician / Faculty Fee

₹3799 | $95

Module 16

Industry Professional Fee

₹4799 | $110

Module 17

What You’ll Gain

Live & recorded sessions
e-Certificate upon completion
Post-workshop query support
Hands-on learning experience

Module 18

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Module 19

Publication Opportunity

Get published in a prestigious open-access journal.

Module 20

Centre of Excellence

Become part of an elite research community.

Module 21

Networking & Learning

Connect with global researchers and mentors.

Module 22

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Module 23

Need Help?

We’re here for you!

(+91) 120-4781-217

★★★★★

🌱 AI-Powered Life Cycle Assessment Dashboards

Thanks for the points raised, the only suggestion is to involve more interactive parts into the course.

Javad • 05/27/2025 at 1:59 pm

★★★★★

AI-Powered Multi-Omics Data Integration for Biomarker Discovery

Great course. Thank you very much.

Abdul Mueed Hafiz • 11/25/2025 at 2:55 pm

★★★★★

The Green NanoSynth Workshop: Sustainable Synthesis of NiO Nanoparticles and Renewable Hydrogen Production from Bioethanol

She was very professional, clear and precise. I thank him for his time and efforts. Thank you very much.

Jihar • 02/27/2025 at 1:53 pm

★★★★★

Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Raluca Ivan • 07/30/2024 at 12:32 pm

View All Feedbacks →

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Metagenomic Analysis of AMR and HGT

Course Overview

Program Syllabus

About This Course

Aim

Workshop Objectives

Day 1: Introduction &amp; Data Pre-Processing

Day 2: ARG and MGE Detection

Day 3: Visualization &amp; Interpretation

Who Should Enrol?

Important Dates

Registration Ends

Workshop Dates

Workshop Outcomes

Fee Structure

Student Fee

Ph.D. Scholar / Researcher Fee

Academician / Faculty Fee

Industry Professional Fee

What You&#8217;ll Gain

Join Our Hall of Fame!

Publication Opportunity

Centre of Excellence

Networking &#038; Learning

Global Recognition

Need Help?

Lead Instructor

Dr. Sarah Chen