Searching on BenchSci Just Got Easier!
Describes new search features on BenchSci, latest search improvements and examples.
Describes new search features on BenchSci, latest search improvements and examples.
So you’ve been coming to BenchSci when you need to find an antibody to use in your experiment, but have you considered all of the other neat ways you can leverage the data on the platform? This article shows you how scientists are using the BenchSci platform in novel and innovative ways to gain competitive insights and speed up their research projects.
We improved our machine learning algorithm to detect antibody usage data in papers that didn’t cite catalog numbers. Read on to find out how you can leverage these data for you antibody search.
We’re kicking off 2019 with unique validation data to further improve your antibody search.
Dr. David Rimm, Professor at Yale University, shares his perspectives on the challenges of finding antibodies, and how BenchSci has helped.
We completed our biggest data run to date! Our antibody search platform has doubled in published antibody use cases and added many more features. Read on to find out what they are.
At BenchSci, we rolled out first-of-its-kind antibody cross-reactivity analyses to help with your antibody search. Read on to learn more about this feature.