Curious if this is a common experience or just something I noticed in my own time in a lab. Did you ever find yourself pausing experiments to learn a programming language just to interpret your own results? How did you handle it? Did you figure it out yourself, wait for computational support, or find another way around it? Would love to hear how other people have dealt with this.
hi r/bioinformatics,
i am a recent Columbia CS grad and former Stanford
bioinformatics intern. During my time at the Carette Lab
i watched researchers wait weeks for computational support
to interpret data they already understood biologically.
i was the bioinformatician they were waiting on.
i built Enzora to fix that.
what it does:
- upload any gene expression CSV
- get plain language findings with every claim cited
back to the exact row in your data
- high confidence findings are verified by real Python
running inside isolated Daytona sandboxes — not AI
guessing
- inferred findings are clearly labeled so you know
exactly what to trust
- differential expression analysis with p-values,
fold change, and a volcano plot
- PDF export you can hand to your PI
what I tested it on:
The Golub 1999 leukemia dataset - 7,129 genes, 38 samples.
It correctly identified GAPDH housekeeping patterns,
flagged a potential outlier, recognized Affymetrix
microarray technology from probe naming conventions,
and identified 1,005 statistically significant
differentially expressed genes between ALL and AML
subtypes with real p-values computed by SciPy.
what i am NOT claiming:
this is not a replacement for a bioinformatician.
it is a first-pass analysis tool - something to help
researchers understand their data before they get
time with computational support. every report includes
a limitations disclaimer and clearly labels AI
inferences separately from mathematically verified
findings.
try it:
enzora.bio - free, no account needed, just upload a CSV
i would genuinely love feedback from real researchers.
what breaks? what is missing? what would make this
actually useful in your workflow?