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DSTC-01182 Online (e-LMS) Graduate / Intermediate

Metagenomics Using Galaxy Platform

by - DSTC

Master Metagenomics Using Galaxy Platform in 4 weeks through hands-on, project-based online training with DSTC.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 3 Days ยท 4.5 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ“š Syllabus & Course Curriculum

Bioinformatics & Computational Biology

Module-by-module breakdown of Metagenomics Using Galaxy Platform, from foundations to a certified capstone project.

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Outline

Grasp core metagenomics principles and their pivotal role in contemporary microbiome research โ€ข Identify and interpret standard data formats including FASTQ, FASTA, and BIOM files โ€ข Navigate metagenomics analysis workflows from experimental design to downstream interpretation

Outline

Configure and optimize your Galaxy workspace for efficient metagenomics analysis โ€ข Leverage Galaxy's integrated tools, workflows, and history management for reproducible research โ€ข Retrieve, import, and organize metagenomics datasets from public repositories and local sources

Outline

Import raw amplicon sequences and execute rigorous quality control protocols โ€ข Perform sequence alignment and operational taxonomic unit (OTU) clustering โ€ข Extract taxonomic classifications and generate compelling visualizations for stakeholder communication

Outline

Upload and preprocess shotgun metagenomics datasets for comprehensive community profiling โ€ข Extract taxonomic information using advanced classification algorithms and reference databases โ€ข Decode functional potential through metabolic pathway annotation and gene ontology analysis

Outline

Implement robust preprocessing pipelines to ensure data integrity and analytical reliability โ€ข Detect and mitigate batch effects, contamination, and sequencing artifacts โ€ข Validate dataset quality using statistical metrics and visualization diagnostics

Outline

Diagnose and resolve common computational challenges in metagenomics pipelines โ€ข Optimize resource allocation and runtime efficiency for large-scale datasets โ€ข Develop systematic debugging strategies for workflow failures and inconsistent outputs

Outline

Engage in cross-disciplinary collaboration with peers from diverse scientific backgrounds โ€ข Share reproducible workflows, custom tools, and analytical best practices within the Galaxy community โ€ข Contribute to open-science initiatives and advance collective understanding of microbial ecosystems

Earn government-registered certification in Metagenomics Using Galaxy Platform

e-Certificate and e-Marksheet issued on successful completion.

View full course โ†’

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