Machine Learning and AI for Biological Data
Two different jobs, and we do both.
Building the model. Traditional supervised learning and deep learning applied to your data, including prediction with pretrained biological models such as GeneFormer and Akita.
Checking the model, and the code. A model built for a different platform or population can underperform on yours while looking just as confident, and an LLM assistant will happily produce code that runs without doing the analysis you meant. We will tell you whether an approach fits your data, where a method's limitations bite, and what AI-generated code is actually computing.
The second job is the one researchers most often skip and most often need. It is also the one that is hardest to do alone, because the failure mode is a plausible answer rather than an error message.
Request this service
Bioinformatics Core replies with scope and price.
Your details
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Nothing is booked or charged until you accept a quote.
How it goes
You ask
Say what you need, in your words.
They scope it
The facility confirms it can be done and may ask for a detail or two.
You accept a quote
Price and timing, agreed before any work starts.
Results come back
Files arrive in your requests, with a note from the facility.
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