After 15 years in bioinformatics, I've had the same conversation about 1,000 times:
Biologist: 'I have count files for my RNA-seq data from the service center. Can you help me analyze them?'
Me: 'Sure, just run DESeq2 after normalizing your counts'
Biologist: 'Um... how do I do that?'
Then I spend 2 hours writing a script they'd never be able to modify.
This pattern repeated across labs, institutions, continents. The bottleneck was never the biology. It was the code.
That's why I built Pipette.
Natural language reproducible bioinformatics analysis.
No Python. No conda environments. No Stack Overflow rabbit holes.
Just the science.
Try it for free pipette.bio