About StatiX AI & Data Labs

Professional learning resources for bioinformatics, clinical programming, and data science.

Our mission

StatiX AI & Data Labs is a curated learning platform for students and professionals in life sciences, pharmaceuticals, and data-driven healthcare.

We publish tutorials that read like official documentation — practical, reproducible, and aligned with how industry teams actually work.

Who this site is for

Audience	What you will find
Students	Step-by-step guides from zero prior knowledge
Bioinformatics researchers	Docker, Nextflow, cloud pipelines
Clinical programmers	Reproducible R environments, ADaM workflows (expanding)
Data scientists	Containers, orchestration, ML deployment paths
Pharmaceutical professionals	GxP-aware practices, reproducibility, audit-friendly patterns
Software engineers	DevOps foundations for regulated data platforms

Documentation standard

Every StatiX tutorial follows a 25-section professional template:

Introduction
Learning objectives
Why it matters (industry context)
Architecture diagrams (Mermaid)
Installation (Windows, macOS, Linux)
Basic concepts
Hands-on examples
Real-world use cases
Bioinformatics workflow placement
Clinical programming workflow placement
Best practices
Common mistakes
Troubleshooting
Interview questions
Cheat sheet
Summary
Next topic
Learning paths
Further reading
Mini project
Exercises

Tip

Available now: Docker and Nextflow use the full template. Other topics are rolling out on the same standard.

Recommended learning paths

Bioinformatics

flowchart LR
  A[Linux] --> B[Git]
  B --> C[Docker]
  C --> D[Nextflow]
  D --> E[Cloud / AWS]
  E --> F[ML & AI]

Clinical programming

flowchart LR
  A[R / SAS] --> B[Linux & Git]
  B --> C[Docker]
  C --> D[Pharmaverse]
  D --> E[Reproducible TLFs]
  E --> F[Submission]

Data science & engineering

flowchart LR
  A[Python / R] --> B[SQL]
  B --> C[Linux & Git]
  C --> D[Docker]
  D --> E[Kubernetes]
  E --> F[AWS]

How to use this site

Start on the home page — check Available vs Coming soon badges
Follow tutorials in order if you are new to a path
Complete hands-on examples and mini projects on your machine
Use cheat sheets and troubleshooting sections as job aids

Contribute & feedback

This site is built with Quarto and published via GitHub Pages.

Repository: https://github.com/praveen2093/QUARTO

Live site: https://praveen2093.github.io/QUARTO/

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