Workshop Registration End Date :24 Apr 2026

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Virtual Workshop

Hands-On AMR Workshop: Detecting Resistance Genes Using BLAST & NCBI

Track Resistance at the Genetic Level—Hands-On AMR Detection with BLAST & NCBI

Skills you will gain:

About Workshop:

This workshop provides a hands-on dry-lab experience in analyzing sequence data to detect AMR genes. Participants will learn how to retrieve sequences, perform BLAST searches, analyze alignment scores, and interpret resistance gene annotations. Real-world datasets will be used to demonstrate workflows for identifying resistance in bacterial genomes, supporting applications in healthcare, environmental monitoring, and research.

Aim:

This workshop aims to provide hands-on training in detecting antimicrobial resistance (AMR) genes using BLAST and NCBI databases. It focuses on identifying resistance markers from genomic sequences and understanding their clinical and environmental relevance.

Workshop Objectives:

  • Understand the fundamentals of AMR and resistance gene mechanisms.
  • Learn sequence retrieval and database navigation in NCBI.
  • Perform BLAST searches for resistance gene identification.
  • Interpret alignment scores, E-values, and sequence similarity.
  • Apply bioinformatics workflows for AMR detection and analysis.

What you will learn?

Day 1 High-Confidence AMR Gene Detection with BLAST

  • Use the right BLAST mode: BLASTn, BLASTp, or BLASTx.
  • Use megablast for close matches; use sensitive search for diverse genes.
  • Match search logic to sequence type: contigs, CDS, proteins, assemblies.
  • Use curated AMR reference genes and limit the target database.
  • Check FASTA quality before running BLAST.
  • Tune identity, coverage, E-value, and hit ranking carefully.
  • Separate true AMR hits from weak, partial, or low-confidence matches.
  • Record strong hits in a candidate AMR screening table with key evidence

Day 2 Cross-Validation with Curated AMR Tools

  • BLAST alone can overcall AMR genes.
  • Similarity-only hits are not always true resistance calls.
  • Curated AMR naming prevents misannotation.
  • AMRFinderPlus gives standardized AMR detection.
  • Compare results across BLAST, AMRFinderPlus, CARD-RGI, and ResFinder.
  • Check agreement in gene, class, mechanism, and confidence.
  • Resolve family-level versus exact-gene conflicts carefully.
  • Build a consensus profile: high-confidence, review-needed, unsupported.

Day 3 Real-World Interpretation, Reporting, and Mini Project

  • Interpret AMR calls in a biological context, not just as tool outputs.
  • Link detected genes to likely resistance mechanisms carefully.
  • Do not overclaim phenotype from genotype alone.
  • Check completeness, alignment span, and annotation consistency.
  • Remove weak hits, fragment matches, and likely false positives.
  • Validate BLAST results with AMRFinderPlus, CARD, and ResFinder.
  • Report only defensible AMR determinants with confidence notes.
  • Deliver a final AMR report, comparison sheet, and decision workflow.

Mentor Profile

Fee Plan

StudentINR 2499/- OR USD 65
Ph.D. Scholar / ResearcherINR 3499/- OR USD 75
Academician / FacultyINR 4499/- OR USD 90
Industry ProfessionalINR 5499/- OR USD 105

Important Dates

Registration Ends
24 Apr 2026 Indian Standard Timing 7:00 PM
Workshop Dates
24 Apr 2026 to
26 Apr 2026  Indian Standard Timing 8:00 PM

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Intended For :

Career Supporting Skills

Workshop Outcomes

Participants will be able to:

  • Perform BLAST-based identification of AMR genes.
  • Navigate NCBI databases for sequence retrieval and annotation.
  • Interpret sequence alignment results for resistance detection.
  • Analyze microbial genomic data for AMR surveillance.
  • Apply bioinformatics tools in infectious disease research.