
Learn how to list directory contents with ls, using -l, -h, and -a for permissions, ownership, human-readable sizes, and hidden files, plus wildcards to match patterns.
Learn how to set Linux permissions for files and directories using chmod, assign read, write, and execute rights to owner, group, and others, and verify with ls -l.
Search patterns across files or streams with grep, using options, patterns, and file names. Learn case-insensitive and inverted searches with -i and -v, anchors like ^, and basic regular expressions.
Explore the shell and Bash on Linux, and learn to interact with the OS via the command line, automate tasks with Bash scripting, and use variables, loops, conditionals, and functions.
Understand how a variable stores values in bash, using the file name variable in a for loop to substitute names like basilisk, spyridium, and unicorn in commands.
Learn to write bash scripts with interactive prompts, using echo and read to store user input in variables and print personalized greetings in case one.
Showcases bash for loops to iterate over fasta files, extract and sort header lines, remove duplicates, and write sorted headers to files named after the originals with headers to text.
Explore multiple sequence alignment using Muscle to align HIV-1 envelope glycoprotein sequences from five strains. Benchmark tools like Clustal Omega to compare output formats and conservation patterns.
Linux is one of the most important skills in modern bioinformatics and computational biology. Many bioinformatics tools, pipelines, and sequencing workflows are designed to run in Linux environments, making Linux knowledge essential for researchers, students, and professionals working with biological data.
This beginner-friendly course will teach you the Linux fundamentals required for bioinformatics analysis and data processing.
You will learn how to:
Navigate the Linux command line confidently
Work with files and directories efficiently
Understand Linux file systems and permissions
Manipulate biological data files using Linux commands
Prepare data for downstream bioinformatics analysis
Write and execute Bash scripts
Automate repetitive data processing tasks
Work with real biological datasets in practical scenarios
Throughout the course, you will gain hands-on experience using Linux tools commonly applied in bioinformatics workflows and computational biology environments.
No prior Linux experience is required. The course is designed for beginners who want to build practical Linux skills for research, genomics, sequencing analysis, and bioinformatics applications.
What You Will Learn
Linux Fundamentals
Linux operating system basics
Terminal and command-line navigation
File and directory management
Working with Biological Data
Handling sequence and biological data files
Searching, filtering, and processing data
Data preparation for analysis pipelines
Bash Scripting
Writing simple Bash scripts
Automating workflows
Improving productivity and reproducibility
Practical Bioinformatics Applications
Real-world examples using biological datasets
Linux tools used in bioinformatics environments
Best practices for computational workflows
By the end of this course, you will have a solid foundation in Linux and the practical skills needed to work more efficiently in bioinformatics and computational biology projects.
Enroll today and start building one of the most valuable skills in bioinformatics.