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Biotechnology · Live online

Advanced ARG Detection: Bioinformatics Tools for Research

Decode Resistance. Analyze Genomes. Advance Public Health.

1–3 May 202608:00 PM IST3 Days (1.5 Hour/day)Certificate
The live sessions are over · get the full recording

About This Course

This 3-day intensive workshop (1.5-hour lecture per day) provides a comprehensive introduction to the detection and characterization of antibiotic resistance genes (ARGs) using modern bioinformatics approaches. Participants will gain theoretical understanding and practical exposure to ARG databases, sequence quality control, computational detection methods, annotation strategies, abundance analysis, and visualization techniques. The workshop emphasizes hands-on learning and reproducible workflows suitable for academic research, clinical microbiology, and industry applications.

Aim

To provide participants with theoretical knowledge and hands-on bioinformatics skills to detect, analyze, and interpret antibiotic resistance genes (ARGs) from genomic and metagenomic datasets using widely adopted computational tools and databases.

Workshop Objectives

  • To understand mechanisms of antimicrobial resistance and functional classes of ARGs
  • To explore major ARG databases (CARD, ResFinder, ARG-ANNOT, NCBI AMR)
  • To perform quality control and preprocessing of sequencing data
  • To detect ARGs using BLAST, DIAMOND, HMMER, and RGI tools
  • To annotate and quantify ARGs in genomes and metagenomes
  • To characterize ARGs through phylogenetics, co-occurrence analysis, and visualization
  • To generate reproducible ARG analysis reports suitable for research and publication
Next: Day-by-day →

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
  • Tools: Python (pandas, matplotlib, seaborn, networkx), R (optional), CARD/RGI, NCBI tools
  • Mini Task: Build a final ARG detection report with resistance profiles, distribution plots, and phylogenetic context

Who Should Enrol?

  • Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
  • Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
  • University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
  • Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
  • Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Next: Dates →

Important Dates

Registration Ends

May 1, 2026
IST 07:00 PM

Workshop Dates

May 1, 2026 – May 3, 2026
IST 08:00 PM

Workshop Outcomes

By the end of this 3-day workshop (1.5-hour lecture per day), participants will be able to:

  • Explain molecular mechanisms of antibiotic resistance
  • Retrieve and curate ARG sequences from public databases
  • Perform quality control and preprocessing of sequencing datasets
  • Detect and annotate ARGs using computational approaches
  • Analyze ARG abundance and distribution patterns
  • Interpret genotype-to-phenotype resistance relationships
  • Generate publication-ready visualizations and structured resistance reports
Next: Mentor →

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.

Next: Fees →

Recording fee

Participants in India

₹2,499

Participants outside India

$50

  • All session recordings
  • Study material
  • Certificate after completion
  • 1-year access

Get the recording

The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

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