Sitemap - 2023 - Scaling Biotech
Can you manage data like code?
Directory structures are the Excel of file organization
Is the keyboard mightier than the mouse?
Reader question: Pipeline frameworks for NGS and non-NGS workflows
The three core questions every biotech data team must answer
A data moat is built from well planned experiments
It's 10pm. Do you know where your experiments are?
Platemaps aren't hard but everything around them is
Data infrastructure is like a joke - It's all about timing
It matters which details matter (to you).
Sometimes, you need to build one to throw away.
Accessing instrument data is an economics problem
Automating data pre-processing requires (You guessed it) metadata
Data (and metadata) beat models
In biotech, data is only half the story.
It's OK to put your data in multiple places. (In fact, it's good.)
Don't let good be the enemy of good enough
Don't build a wall between exploratory and canned analysis
Just say "no" to fad tech projects.
Supporting analysis isn't one problem - it's 16(ish)
Tracking analysis starts with process but ends with tooling
Announcing the Decoding Bio Snapshot 2023
It's the momentum that gets you
It's all about making decisions
Introducing Foam, a framework for building biotech data apps
Shannon entropy and low code frameworks
Implementation should match the pace of change
And especially not your workflow model
Don't neglect your decision model either
Are you buying the model or the implementation?
This is why we can't have nice things
Is your digital twin identical or fraternal?
What's your next move (experiment)?
Who's left holding the (lab data) bag?
It's not just a hammers and nails problem
Getting stuck at proof-of-concept
Introducing Merelogic Consulting
Help request: I want to understand org charts
Be the first to read "Leading Biotech Data Teams"!
We need more bootstrapped biotech software startups
Sometimes you just have to ask again
When you find a bad habit, look for the gap
Introducing the Reciprocal Development Principles