Our Purpose
Learning computational biology often requires bridging a significant gap between reading methods sections in papers and actually executing those pipelines at the command line. This platform was built specifically to address that challenge. Every tutorial is structured around hands-on, step-by-step guidance so you can directly apply these tools to your own genomic datasets from day one.
The instructions here are tested in real HPC environments and updated to reflect current software versions. Whether you are running your first Bash command or assembling a production-ready scRNA-seq pipeline, the goal is the same: remove friction between you and the analysis.
About the Author
Bioinformatics Workflow Hub is maintained by computational biologists with direct experience in academic research and data analysis. The tutorials share the exact pipelines, configuration files, and best practices used in active research, not theoretical examples from documentation pages. The focus is on reproducibility, clarity, and scientific rigor.
All content is regularly reviewed to stay compatible with current software releases. Feedback and suggestions for new topics are always welcome through the Contact page.
What You Will Learn
- Shell & Bash Scripting: Essential Unix/Linux commands for file management, text processing, and pipeline automation.
- High-Performance Computing (HPC): Connecting to clusters, writing Slurm job scripts, and managing resources efficiently.
- Conda & Mamba: Creating isolated, reproducible software environments for bioinformatics tools.
- Single-cell RNA-seq Analysis: End-to-end workflows from raw FASTQ files to cell clustering and biological interpretation.
- Bioinformatics Fundamentals: Core concepts in genomics, data formats, and workflow design for reproducible science.
Who These Tutorials Are For
These tutorials are written for graduate students, postdoctoral researchers, and lab staff who are building computational skills alongside wet-lab work. No prior programming background is assumed for the introductory modules. Advanced tutorials assume familiarity with basic Unix commands and the concepts covered in earlier guides in the series.