About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This course provides a practical introduction to Linux for students and professionals working with biological data. Participants learn how to navigate the Linux environment, open and manage biological files, run command-line tools, write simple scripts for automation, and operate on remote HPC systems. The training uses real datasets and simple workflows to build confidence in command-line bioinformatics. No programming experience is required, and all concepts are taught in clear, beginner-friendly language.
Learning Objectives
- Understand the Linux environment and command-line workflow
- Navigate directories and manage biological data files
- Use essential Linux commands for bioinformatics
- Run commonly used bioinformatics tools
- Interpret important biological file formats
- Write simple shell scripts for automation
- Work confidently on HPC or server-based systems
- Apply Linux skills to real bioinformatics tasks
Target Audience
- Bioinformatics and computational biology students
- Molecular biology and biotechnology students
- Researchers handling DNA/RNA/protein data
- Medical, clinical, and laboratory trainees
- Anyone beginning command-line bioinformatics
- Professionals transitioning into computational work
Why Choose This Course?
This course builds the essential Linux skills needed for bioinformatics work, even for complete beginners. Participants get real practice with biological files, common tools, and hands-on workflows, ensuring they can apply the skills immediately.
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Want your entire lab or research team to work efficiently on Linux?
We also offer customized in-house training designed for universities, hospitals, research labs, and biotech companies. The content can be aligned to your datasets, workflow requirements, and team skill level for consistent and practical command-line proficiency.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: Linux Basics
Info: • Introduction to Linux and its use in bioinformatics
• Understanding the file system and directory structure
• Basic file handling and navigation
• Icebreaker Activity
Module 2: Working With Biological Files
Info: • Opening and interpreting FASTA and FASTQ files
• Searching biological patterns in datasets
• Editing and organizing sequence files
• Activity
Module 3: CLI Bioinformatics Tools
Info: • Installing common bioinformatics tools
• Running analyses using command-line tools
• Understanding file formats like FASTA, FASTQ, SAM, BAM
• Role Play
Module 4: Shell Scripting
Info: • Writing simple shell scripts for automation
• Using variables, loops, and logic in scripts
• Applying scripts to bioinformatics workflows
• Case Study
Module 5: Working on HPC & Remote Servers
Info: • Connecting to remote servers and cluster environments
• Submitting jobs using schedulers
• Monitoring job outputs and logs
• Simulation
Module 6: Practical Data Processing Concepts
Info: • Organizing bioinformatics project directories
• Running small data analyses with installed tools
• Processing sequence data through simple workflows
• Group Brainstorm Activity
Module 7: Practical Hands-On Challenge
Info: • Executing a full beginner-friendly sequence analysis
• Running scripts on sample datasets
• Interpreting results from multiple command-line tools
• Action Plan Review
Event Venue & Nearby Stays
Regus - Montreal, QC, 1200 Avenue McGill College, Montreal, Canada
CAD 519.35 to CAD 690.09
