A one-stop learning hub
Levels, lessons, practice, browser tools and reference material — practical foundations for computational biology, in one place.
Free · Bioinformatics · AI · Multi-omics
Learn bioinformatics.
All in one place.
Six learning levels, interactive lessons, quizzes, browser tools, cheat sheets, a glossary and a curated directory of databases and datasets — everything you need, from your first command to research-ready analysis.
Free to use, no sign-up needed for most of it, and built with scientific care.
- Computational biology
- Machine learning
- Multi-omics integration
- Reproducible research
- Genomics & transcriptomics
- Scientific software
- Open data
Our mission
Making complex science accessible. Building technology for what comes next.
Modern biology produces vast amounts of data. Understanding it takes biological knowledge, computational methods and critical scientific thinking working together.
Quanexas brings those disciplines into focus through practical education, documented project work and a firm commitment to responsible scientific technology.
More about Quanexas6Learning levels with quizzes, projects and badges
13Free browser tools, checked against Biopython
160+Glossary terms in plain English
160+Curated databases, tools, courses and datasets
Everything in one place
The whole bioinformatics toolkit, side by side.
Learn the concepts, practise them, look things up and run quick analyses without leaving the site.
Study topics
In-depth lessons with interactive 3D molecules, Python that runs in your browser, quizzes and projects.
Practice datasets
Real genomes, sequencing reads, RNA-seq counts and 3D structures, with sources and licences.
26-stage roadmap
The full syllabus, stage by stage, with objectives, tools and projects you can tick off.
Academy
Fourteen member lessons with worked code, from FASTQ and BLAST to RNA-seq and machine learning.
Learning levels
Six levels from foundations to research, each with a checklist, quiz, project and badge.
Practice
Sixty quiz questions with explanations and fifteen hands-on challenges.
Toolbox
Thirteen tools: translation, alignment, FASTQ stats, SAM flags, primers and more.
Cheat sheets
Twelve sheets of copy-ready commands, from Bash and Git to samtools and Slurm.
File formats
FASTA, FASTQ, SAM/BAM, VCF, BED and GFF explained, with coordinate systems.
Glossary
Over 160 terms defined in plain English, from allele to UMAP.
Resource directory
Curated databases, tools, courses and communities, each with a note on what it is for.
Careers
Roles, skills, portfolio advice and interview questions with model answers.
The learning platform
From first command to research readiness.
Three connected ways to build the skills that work at the frontier of biology and computation.
06Levels
Learning levels
Foundations, code, sequence data, omics analysis, workflows and AI-enabled research — with progress, XP and a badge for every level.
Find your level26Stages
The complete roadmap
Concepts, guided practice, evidence of competence and trusted tools for every step, across five phases to research readiness.
Open the roadmap14LessonsMembers
Quanexas Academy
From biology and statistics to variant calling, single-cell and machine learning — each with tested code, practice questions and a mini project.
Enter the AcademyProject lab
Research work, documented with scientific rigour.
Every project states its question, data, methods, validation and limitations — with the code to back it up.
DNA Sequence Analysis Toolkit
A tested Python toolkit for sequence validation, composition metrics, FASTA parsing, batch quality control and a command-line interface.
Read the case studyBreast cancer multi-omics classification
An MSc thesis with a 2026 leakage-corrected re-analysis: four classifiers across 1,936 molecular features, reported with their limits.
Read the case studyReproducible RNA-seq pipeline
A public-data RNA-seq analysis with sample QC, differential expression and a fully reproducible software environment.
See what’s plannedHow we work
Principles that come before any result.
- 01
Scientific integrity
Claims follow evidence. Methods, data sources and limitations are stated plainly.
- 02
Reproducible by default
Versioned code, pinned environments and documented steps that someone else can rerun.
- 03
Responsible AI
Models are checked for leakage, imbalance and uncertainty — and never presented as clinical tools.
- 04
Open knowledge
Learning built on open data, trusted public references and globally accessible resources.
The road ahead
From knowledge to scientific innovation.
Quanexas is an emerging platform. Anything described as a tool or product is labelled according to its actual status.
Documented research
Open case studies with code, data provenance, validation design and honest discussion of limitations.
Tools & AI-enabled workflows
Computational tools and research workflows for life-science challenges, released when they are genuinely ready.
Founder-led
Built by people who care about clear science.
Quanexas is operated by Sohail Shaik, MSc Bioinformatics with Distinction, and welcomes thoughtful collaboration. Colleagues can choose to share a professional profile on our team page.
Get involved
Be part of the next chapter of computational biology.
Start with the learning paths, or get in touch about learning resources, projects or a genuine collaboration.