AWK - The Swiss Army Knife of Bioinformatics Data Processing

Most bioinformatics courses skip AWK, yet it's used daily by experts worldwide. Discover why this simple yet powerful language is your secret weapon for quick data exploration, format conversion, and real-time analysis of genomic files.

SLURM Commands

This is a rapitoure of important slurm commands

The Hitchhiker's Guide to Designing a Short-Read WGS Pipeline

A complete overview of the essential steps, tools, and considerations

VIM - The Text Editor That Lives Where Your Data Lives

Tired of clunky file transfers and laggy graphical editors? VIM is the terminal-native solution that bioinformaticians rely on daily. Explore its history, philosophy, and why it remains unmatched for editing configuration files, scripts, and data on remote servers.

A Systematic Approach to Complex Variant Interpretation in Rare Disease Genomics

Learn a structured, step-by-step framework for analyzing complex variant clusters in whole genome sequencing data. This guide walks through the complete workflow for interpreting frameshift deletions combined with adjacent substitutions—common challenges in rare disease genomics that require more than standard annotation pipelines.

Mastering SFTP and rsync for Bioinformatics Data Transfers

Learn how to handle secure file transfers in bioinformatics workflows, including SFTP with legacy host key support, rsync for speedy downloads/uploads, and critical security tips for HPC environments.

Why Biologists need to learn BASH?

Learn why mastering Bash commands and the Command Line Interface is crucial for unlocking the full potential of bioinformatics in this essential guide for biologists. Ready to level up your bioinformatics skills? Check out our blog to learn more about mastering Bash commands and the Command Line Interface!

Python for Bioinformatics

We will explore real-world examples from biology, such as DNA and RNA sequence manipulation, and learn the basics of Python programming language in this Python for Bioinformatics series. Whether you're a biologist with no coding experience or an experienced programmer, we will teach you how to apply your skills to solve computational problems related to biological sciences. Don't miss out on this exciting opportunity to take your first steps into the world of Bioinformatics with Python!

Machine Learning in Bioinformatics With Python

Join our bioinformatics and machine learning video series for beginners, covering preprocessing, model development, and deployment using Python and key libraries like Pandas, Numpy, Pickle4, and Scikit-learn. Learn through hands-on, real-world data examples and start working on your own projects. Perfect for beginners and experienced programmers alike!