What is the refund policy?

You are eligible to request a refund up to 7 days before the event

Do I need prior Linux experience?

No, the course starts from the basics.

Do I need programming skills?

No. Shell scripting is taught in a simple, beginner-friendly way.

Will we work with real biological data?

Yes, all modules use real DNA, RNA, or protein files.

Is HPC training included?

Yes, remote server usage and job submission are covered.

Will I learn to run bioinformatics tools?

Yes, basic command-line tools are part of the training.

Is a certificate included?

Yes, all participants receive a completion certificate.

Can this course help with NGS workflows?

Yes, basic concepts and formats like FASTA/FASTQ/SAM are included.

Is this suitable for biology beginners?

Yes, it is designed for beginners transitioning into computational work.

Do I need to install Linux?

A demo environment can be provided if required.

Do you offer custom lab-focused training?

Yes, content can be customized for research groups or institutions.

Linux for Bioinformatics: 101 → Intermediate, 1 Day Course in Montreal

By Catils_inc

Multiple dates

Overview

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

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.

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: info@catils.com

Category: Business, Career

Good to know

Highlights

ages 18+
In person
Paid parking

Refund Policy

Refunds up to 7 days before event

Location

Regus - Montreal, QC

1200 Avenue McGill College

Ph No +1 469 666 9332 Montreal, QC H3B 4G7 Canada

How do you want to get there?

Driving Public transport Biking Walking

Agenda

Module 1: Linux Basics

• 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

• Opening and interpreting FASTA and FASTQ files • Searching biological patterns in datasets • Editing and organizing sequence files • Activity

Module 3: CLI Bioinformatics Tools

• Installing common bioinformatics tools • Running analyses using command-line tools • Understanding file formats like FASTA, FASTQ, SAM, BAM • Role Play

Frequently asked questions

Organized by

Catils_inc

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