Nextflow for Bioinformatics
Master AI-Driven Bioinformatics & Nextflow Pipelines for Scalable Genomic Data Analysis Accelerate your Life Sciences career with industry-ready computational biology and workflow automation skills.
Course Description
This comprehensive Life Sciences and AI-Powered Bioinformatics course is engineered to bridge the gap between biological research and scalable computational execution. As biological datasets grow exponentially, modern researchers must move beyond manual data processing toward automated, reproducible analytical workflows.
Through hands-on projects, learners will master Nextflow, Containerization (Docker/Singularity), and AI applications in Genomics to construct end-to-end DNA-Seq and RNA-Seq data pipelines. Designed with guidance from industry experts, this curriculum covers everything from cloud computing integration to machine learning models for biological prediction. Whether you are aiming to analyze massive NGS datasets or integrate AI tools into biological discovery, this course equips you with the exact technical toolset requested by top biotech and research organizations.
What You'll Learn
Build Reproducible Pipelines: Design scalable, fault-tolerant genomic workflows using Nextflow and Linux command-line tools.
Implement Containerization: Package bioinformatics tools into Docker and Singularity containers to ensure 100% computational reproducibility.
Master NGS Data Processing: Analyze Next-Generation Sequencing (NGS) data, including DNA-Seq variant calling and RNA-Seq differential expression.
Apply AI in Life Sciences: Leverage AI tools, machine learning, and LLMs for secondary and tertiary biological data interpretation.
Execute Cloud-Based Genomics: Deploy and run biological workflows efficiently across cloud infrastructure (AWS, Google Cloud).
Curriculum
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Introduction to Nextflow & Workflow Management
Lesson -
Nextflow Core Concepts (Processes, Channels & Workflows)
Lesson -
DNA-Seq Pipeline
Lesson -
Workflow Execution, Outputs & Best Practices
Lesson
