Riffyn Blog

Category: Process and Assay Improvement


Data Are Like Ikea Furniture: Best Shipped Flat
Loren Perelman

The key to analyzing data faster and more accurately is in the way we record and organize our data. Loren Perelman shows us the best way to organize our data for analysis and just might change your perspective on what constitutes a beautiful data table!

Where's the fanFAIR?
Timothy Gardner
Choosing to create a FAIR (Findable, Accessible, Interoperable, Reusable) laboratory environment seems obvious. Who wouldn’t want to be able to find and reuse their data? But it’s not as easy as it sounds. The transformation requires scientific technical backbone and knowhow.
Proactive and Reactive Strategies to Harness Your Data
Jack Morel
Data governance and data cleaning both fall under the category of “getting data ready for analysis," but the main difference is how and when these methodologies are applied.
Your Assay Results May Be Wrong
Timothy Gardner
Researchers often take assay data at face value, assuming it’s accurate because it came out of an instrument. Here we explain why that can be dangerous, and how assay validation can make your science faster and better.
A Better Way to Hit-Pick Strains, Enzymes, and Anything Else
Timothy Gardner
Emphasis is placed on collecting and analyzing screening data to identify hits, but once hits are chosen, the selection criteria used to define hits is often lost. Riffyn allows users to associate decision criteria with hit data, enabling improved selection processes and faster product development.
Events webinar Website
Jan 28, 2021
1:00 PM EST

Webinar: Finding Meaning with Purpose Driven Analytics

Riffyn CEO Tim Gardner will join a JMP-hosted panel discussion featuring analysts from many different fields who are maximizing data and their analytics expertise to make the world a better place.

Check out this event
Shaping Scientific Data is Like Growing a Square Tree
Riffyn Team
Scientific data are multi-dimensional with many complex relationships between samples, devices, and systems. Lab data look more like a tree with a network of relationships between data points than the two-dimensional “square” we need it to be in for machine learning and statistics.
Design of Experiments (DoE) Made Easy
Timothy Gardner

If you want to perform DoEs on your system but don’t know where to start, or if you regularly perform DoEs and are looking for a simple way to import your designs to Riffyn Nexus, check out this blog explaining DoEs, why they're powerful, and how DoE designs created in JMP® can easily be pushed to Riffyn Nexus.

Data is Like Ikea Furniture, It’s Best Shipped Flat
Loren Perelman
The key to analyzing data faster and more accurately is in the way we record and organize our data. Loren Perelman shows us the best way to organize our data for analysis and just might change your perspective on what constitutes a beautiful data table!

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Building a "Lab of the Future" — Scientific Blueprints for Your Data Ecosystem

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