Master Next-Generation Sequencing Data Analysis using Galaxy Platform in 4 weeks through hands-on, project-based online training with DSTC.
Next-Generation Sequencing (NGS) has revolutionized the field of genomics by enabling the rapid sequencing of entire genomes and transcriptomes. This course offers an in-depth exploration of NGS data analysis using the Galaxy platform, a powerful and user-friendly web-based tool. Participants will learn to navigate the Galaxy interface, perform quality control, align sequences, and interpret results. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
Next-Generation Sequencing (NGS) has revolutionized the field of genomics by enabling the rapid sequencing of entire genomes and transcriptomes. This course offers an in-depth exploration of NGS data analysis using the Galaxy platform, a powerful and user-friendly web-based tool. Participants will learn to navigate the Galaxy interface, perform quality control, align sequences, and interpret results.
1. Translate biotechnology theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
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’ Tangible, reproducible biotechnology work to show supervisors or employers.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Master the fundamental principles and concepts of Next-Generation Sequencing technology β’ Navigate the Galaxy interface and configure user accounts for bioinformatics workflows β’ Execute quality control assessments and preprocessing steps for raw NGS data
Utilize Galaxy tools for de novo and reference-guided genome assembly β’ Apply automated annotation pipelines to predict gene structures and functional elements β’ Validate assembly quality and assess completeness using benchmark metrics
Perform read mapping and alignment against reference genomes using industry-standard algorithms β’ Identify single nucleotide polymorphisms (SNPs) and structural variants from NGS data β’ Filter, annotate, and prioritize variants for clinical and research applications
Process raw RNA-Seq reads using Hisat2 for accurate splice-aware alignment β’ Quantify gene and transcript abundance with FeatureCounts and related tools β’ Assemble transcriptomes and discover novel isoforms from sequencing data
Design robust differential expression experiments with proper biological replicates β’ Execute DESeq2 workflows within Galaxy to identify significantly regulated genes β’ Visualize expression patterns through volcano plots, heatmaps, and PCA analyses
Perform Gene Ontology (GO) enrichment and pathway over-representation analysis β’ Map differentially expressed genes to biological pathways and disease associations β’ Interpret multi-omics results to generate actionable biological hypotheses
Construct reproducible, automated analysis pipelines using Galaxy's workflow editor β’ Implement best practices and optimization strategies for efficient NGS data analysis β’ Customize parameters and troubleshoot common bioinformatics challenges
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Galaxy Platform |
| Covered Tool / Platform | Hisat2 |
| Covered Tool / Platform | FeatureCounts |
| Covered Tool / Platform | DESeq2 |
| Covered Tool / Platform | FastQC |
| Covered Tool / Platform | MultiQC |
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