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.
New technologies are flipping traditional antibody-based assays on their heads. These immunoassays are quicker, more sensitive, can be conducted high-throughput, and require minimal sample. It’s an exciting time to be a bench scientist!
Finding reliable antibodies that work well in an experiment usually requires a little trial and error at your end but there are some steps you can take to avoid the loss of money, time, and effort.
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.
An infographic explaining why designing and developing bioinformatic tools can be challenging for scientists and the resulting frustrating user experience.
We’re kicking off 2019 with unique validation data to further improve your antibody search.
Biologics are on the rise!
This article reviews the 7 monoclonal antibodies that are expected to be the best-selling antibody-based drugs in 2024, which focus on inflammation and cancer therapies.