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May 6, 2026

Registration closes May 6, 2026

Advanced ARG Detection: Bioinformatics Tools for Research

Detect, Analyze, and Track Resistance Genes with Advanced Bioinformatics Tools

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level:
  • Duration: 3 Days (1.5 Hours Per Day)
  • Starts: 6 May 2026
  • Time: 8:00 PM IST

About This Course

This workshop introduces advanced ARG detection workflows using bioinformatics tools such as BLAST, CARD, ResFinder, AMRFinderPlus, MEGARes, Abricate, and RGI. Participants will learn how to process sequence data, detect resistance genes, interpret identity/coverage thresholds, compare resistome profiles, and generate research-ready reports. The focus is dry-lab, hands-on analysis for microbiology, genomics, and public health research.

Aim

This workshop aims to train participants in advanced antibiotic resistance gene (ARG) detection using modern bioinformatics tools and databases. It focuses on identifying, annotating, and interpreting ARGs from genomic and metagenomic datasets. Participants will learn how to compare resistance profiles across samples and connect ARG findings with microbial ecology, public health, and research applications. The program bridges AMR biology, genomics, and computational analysis.

Workshop Objectives

  • Understand ARG types, resistance mechanisms, and resistome concepts.
  • Learn bioinformatics workflows for ARG detection from sequence data.
  • Use ARG databases and tools such as CARD, ResFinder, AMRFinderPlus, and MEGARes.
  • Interpret alignment outputs, gene annotations, identity, coverage, and confidence scores.
  • Compare ARG profiles across samples for research and surveillance insights.

Workshop Structure

Day 1: Introduction to Antibiotic Resistance and ARGs

  • Antimicrobial Resistance Overview: Mechanisms of resistance, clinical and environmental relevance
  • ARGs: Types, functional classes, and common examples (β-lactamases, efflux pumps, aminoglycoside-modifying enzymes)
  • Databases for ARGs: CARD, ResFinder, ARG-ANNOT, NCBI AMR database
  • Sequence Data Preparation: Collecting bacterial genomes, metagenomic samples, and FASTA/FASTQ formats
  • Quality Control: Read trimming, filtering, and assembly basics
  • Tools: Python, Biopython, FASTQC, Trimmomatic
  • Mini Task: Explore ARG databases and extract sequences for analysis

Day 2: Detection and Annotation of ARGs

  • ARG Detection Approaches: BLAST-based, HMM-based, and machine learning approaches
  • Functional Annotation: Mapping ARGs to resistance mechanisms, classes, and antibiotics
  • Sequence Alignment and Similarity Search: BLAST, DIAMOND, and hidden Markov models (HMMs)
  • ARG Abundance and Distribution Analysis: Quantification in genomes/metagenomes
  • Tools: BLAST, DIAMOND, HMMER, CARD/RGI tool, Python (pandas, seaborn for visualization)
  • Mini Task: Detect ARGs in a bacterial genome or metagenome dataset and generate resistance profiles

Day 3: Characterization, Visualization, and Reporting

  • Characterization of ARGs: Phylogenetic context, mobile genetic elements, co-occurrence networks
  • Predicting Phenotypic Resistance: Linking genotype to antibiotic susceptibility
  • Visualization of ARG Distribution: Heatmaps, barplots, network diagrams
  • Reproducibility & Reporting: Workflow documentation, figures for publication, interpretation of resistance patterns

Who Should Enrol?

  • Undergraduate/postgraduate degree in Microbiology, Biotechnology, Bioinformatics, Genomics, Computational Biology, or related fields.
  • Professionals in clinical microbiology, diagnostics, infectious disease research, public health, or environmental monitoring.
  • Data scientists and AI/ML engineers interested in applying analytics to AMR and microbial genomics datasets.
  • Individuals with a keen interest in antimicrobial resistance, resistome analysis, and bioinformatics research.

Important Dates

Registration Ends

May 6, 2026
IST 7:00 PM

Workshop Dates

May 6, 2026 – May 8, 2026
IST 8:00 PM

Workshop Outcomes

Participants will be able to:

  • Detect ARGs from genomic or metagenomic datasets.
  • Use major ARG databases and annotation tools confidently.
  • Interpret ARG outputs using identity, coverage, and resistance class information.
  • Compare resistome profiles across clinical, environmental, or research samples.
  • Prepare research-ready ARG detection summaries and reports.

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

₹2499 | $65

Ph.D. Scholar / Researcher Fee

₹3499 | $75

Academician / Faculty Fee

₹4499 | $85

Industry Professional Fee

₹5499 | $95

What You’ll Gain

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

Need Help?

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(+91) 120-4781-217

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