Master Metagenomic Analysis of AMR and HGT in 4 weeks through hands-on, project-based online training with DSTC.
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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
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.
1. Put biotechnology techniques to work on real datasets and case studies.
2. Assemble a documented case study that evidences your applied capability.
β’ Master's and senior undergraduate students specializing in biotechnology
β’ R&D engineers and working professionals applying biotechnology in industry
β’ Academics and educators building research or teaching capacity in biotechnology
β’ A portfolio-grade biotechnology deliverable you can defend and extend.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
β’ Resistance mechanisms: efflux, target modification and enzymatic inactivation
β’ Conjugation, transformation and transduction as routes of gene movement
β’ Resistome and mobilome as distinct objects requiring distinct analysis
β’ Shotgun metagenomics against amplicon approaches for resistance gene detection
β’ Read QC, host read removal and adapter handling with fastp and Bowtie2
β’ Depth requirements β low-abundance resistance genes are missed at shallow depth
β’ CARD, ResFinder and AMRFinderPlus, and their differing curation philosophies
β’ Read-based against assembly-based detection and the sensitivity trade-off
β’ Identity and coverage thresholds and the false positives loose settings produce
β’ Assembly with metaSPAdes and binning with MetaBAT for genomic context
β’ Plasmid, integron and transposon identification with mobileOG and PlasmidFinder
β’ Host attribution and why short reads frequently cannot support the claim
β’ Gene presence is not resistance phenotype β the limits of genotypic prediction
β’ Evidence needed to argue a horizontal transfer event actually occurred
β’ Comparative and longitudinal designs for tracking resistome change
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | RStudio |
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