11/25/2025

Registration closes 11/25/2025

Metagenomic Analysis of AMR and HGT

“Uncovering the Hidden World of Resistance: AI Meets Metagenomics.”

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days 1.5 Hr Per Day
  • Starts: 25 November 2025
  • Time: 8:00 PM IST

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.

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.

Workshop Structure

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.
  • Outcome: Participants gain a foundation in raw data handling and gene annotation.

Day 2: ARG and MGE Detection

  • Lecture: Introduction to 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.
  • Discussion: Integrating ARG and MGE profiles for HGT potential assessment.
    Outcome: Participants perform comprehensive resistome and MGE profiling.

Day 3: Visualization & Interpretation

  • Hands-on: Visualization of ARG abundance using R (ggplot2) and Python (matplotlib/seaborn).
  • Case Study: Comparative analysis of environmental vs. clinical resistomes.
  • Workshop Output: Resistome diversity plots and HGT network maps.
  • Panel Discussion: Applications of metagenomic AMR monitoring in One-Health and policy contexts.

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.

Important Dates

Registration Ends

11/25/2025
IST 7:00 PM

Workshop Dates

11/25/2025 – 11/27/2025
IST 8:00 PM

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.

Meet Your Mentor(s)

Mentor Photo

Prof. Kumud Malhotra

Professor & Dean

Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . . for content development and journal publication. She completed her Ph. D on “Genetic Epidemiology of Malaria in Some Population Groups of Delhi and Tribal Groups of Tarai Region of Nainital District” and Post Doctorate from Delhi University as an ICMR and UGC fellow.
Her expertise domains are Biotechnology, Genetics, Bioinformatics, Forensic  Science, Molecular Biology, and its allied areas. She has obtained Certifications in the areas of Genetic Engineering, Molecular Biology, Microarrays, Proteomics, and Parasitology from IGIB, NICD, MRC, and Delhi University. Down the lane, her achievements and accolades are the best employee and faculty while working at Bioinformatics Institute of India and RNB GLOBAL University as a Dean and other prestigious awards. Her contribution to the establishment of the School of Basic and Applied Sciences and Agricultural Sciences along with the approval from ICAR at the new University RNBGLOBAL
University was acknowledged by the Management.
Apart from teaching and academics her experience in content development and e-learning for various renowned universities and organizations like Banasthali Vidyapith, GOLS Academy, Biionline, etc. is an added credential of hers. Dr. Kumud Malhotra has been a Resource Person in Course Development Committees (for graduate and post-graduate programs) for Indira Gandhi National Open University (IGNOU), Jamia Hamdard along with other credits like Member of various committees like Academic Council, BOS, Research Committee, etc. for the IGNOU, IAMR. She has demonstrated caliber as a resourceful Technical Collaborator for the conduction of the Workshop on Bioinformatics at
Bundelkhand University and in Engineering College in Durg, Chhattisgarh with an appreciation letter from the university.
She is a member of the editorial board of various journals and has presented Papers at International Conferences on Genetics, Parasitology, Clinical Trials, Pharmacovigilance, Biotechnology, etc. Dr. Malhotra has delivered keynote addresses at CII, International Conferences, and member of various professional bodies Genetics Society, Indian Science Congress, International Society for Malariology and Parasitology, IAA, SBTI, etc. She has guided many students for Ph.D. and internships and got the projects from ICMR.

Fee Structure

Student Fee

₹1499 | $55

Ph.D. Scholar / Researcher Fee

₹2499 | $65

Academician / Faculty Fee

₹3499 | $80

Industry Professional Fee

₹4499 | $90

What You’ll Gain

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

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