Linux for Bioinformatics: 101 → Intermediate, 1 Day course in Minneapolis

Schedule

Tue, 20 Jan, 2026 at 09:00 am to Wed, 17 Jun, 2026 at 05:00 pm

UTC-06:00

Location

regus MN, Minneapolis - Spaces North Loop | Minneapolis, MN

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Learn essential Linux skills for bioinformatics and file handling, tools, scripting, and workflows with no prior command-line experience.
About this Event

Group Discounts:

Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants


About the course:

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session


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:

By the end of this course, you will:

• 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:

• 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

Why is it the Right Fit for You?

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.

©2025 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.



Our Royalty Referral Program

Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.

For royalty-related queries, contact [email protected]


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 session:


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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


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Where is it happening?

regus MN, Minneapolis - Spaces North Loop, 121 Washington Ave. N 2nd Floor, Minneapolis, United States

Event Location & Nearby Stays:

Tickets

USD 581.92 to USD 759.41

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