Master Metagenomics Using Galaxy Platform in 4 weeks through hands-on, project-based online training with DSTC.
Metagenomics Using Galaxy Platform is a comprehensive 3-day intensive designed to transform participants into proficient metagenomics analysts. This course bridges fundamental concepts with cutting-edge practical application, enabling learners to unravel complex microbial ecosystems through powerful bioinformatics workflows. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
Metagenomics Using Galaxy Platform is a comprehensive 3-day intensive designed to transform participants into proficient metagenomics analysts. This course bridges fundamental concepts with cutting-edge practical application, enabling learners to unravel complex microbial ecosystems through powerful bioinformatics workflows.
1. Develop hands-on skill in powerful bioinformatics workflows.
2. Apply biotechnology methods to authentic research and industry problems.
3. 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’ Data and computational scientists moving into powerful bioinformatics workflows
β’ Confidence to apply powerful bioinformatics workflows in real projects.
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.
Grasp core metagenomics principles and their pivotal role in contemporary microbiome research β’ Identify and interpret standard data formats including FASTQ, FASTA, and BIOM files β’ Navigate metagenomics analysis workflows from experimental design to downstream interpretation
Configure and optimize your Galaxy workspace for efficient metagenomics analysis β’ Leverage Galaxy's integrated tools, workflows, and history management for reproducible research β’ Retrieve, import, and organize metagenomics datasets from public repositories and local sources
Import raw amplicon sequences and execute rigorous quality control protocols β’ Perform sequence alignment and operational taxonomic unit (OTU) clustering β’ Extract taxonomic classifications and generate compelling visualizations for stakeholder communication
Upload and preprocess shotgun metagenomics datasets for comprehensive community profiling β’ Extract taxonomic information using advanced classification algorithms and reference databases β’ Decode functional potential through metabolic pathway annotation and gene ontology analysis
Implement robust preprocessing pipelines to ensure data integrity and analytical reliability β’ Detect and mitigate batch effects, contamination, and sequencing artifacts β’ Validate dataset quality using statistical metrics and visualization diagnostics
Diagnose and resolve common computational challenges in metagenomics pipelines β’ Optimize resource allocation and runtime efficiency for large-scale datasets β’ Develop systematic debugging strategies for workflow failures and inconsistent outputs
Engage in cross-disciplinary collaboration with peers from diverse scientific backgrounds β’ Share reproducible workflows, custom tools, and analytical best practices within the Galaxy community β’ Contribute to open-science initiatives and advance collective understanding of microbial ecosystems
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Galaxy Platform |
| Covered Tool / Platform | FastQC |
| Covered Tool / Platform | Trimmomatic |
| Covered Tool / Platform | QIIME 2 |
| Covered Tool / Platform | Kraken2 |
| Covered Tool / Platform | MetaPhlAn |
| Covered Tool / Platform | HUMAnN |
| Covered Tool / Platform | eggNOG-mapper |
| Covered Tool / Platform | Krona |
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