Are you a biologist ready to explore the power of data analysis but unsure where to start? At e-codi.org, we bridge the gap between biology and data science, offering a clear, practical path for life scientists who want to analyze their own data with confidence.
Whether you’re working with genomics, transcriptomics, behavior, or phenotype data, we’ll help you answer key questions like:
- What kind of data do I have?
- Which tools and software should I use?
- How do I learn R, statistics, and bioinformatics without a math-heavy background?
From basic statistics and R programming to advanced topics like RNA-Seq, GWAS, PCA, heritability estimation, and machine learning, our content is designed specifically for biologists, veterinarians, ecologists, and life science researchers.
At E-Codi, we believe that the future of biology lies at the intersection of science and computation. Our mission is simple: to make biological data analysis more accessible, understandable, and impactful—no matter your background.
Learn the basics of statistics, and bioinformatics, built for biologists, not programmers. Explore articles, code examples, data templates, and biological data interpretation guides in our growing learning hub.
How It Started ?
E-Codi was born out of a shared frustration. You spend months running experiments. Finally, you get your hands on the data… and then comes the silence, because you’re suddenly staring at endless spreadsheets, strange code, or statistical jargon that feels like it belongs in a different world.
Do You Know ?
Studies have shown that a massive portion of biological data—whether from lab experiments, field studies, or sequencing machines—remains underused or unused altogether. Not because it’s bad data, but because researchers often don’t have the time, tools, or training to analyze it properly.
To start exploring e-codi, click here