How BenchSci will Continue to Help Scientists During the COVID-19 Pandemic
Learn how BenchSci is working to ensure uninterrupted access, customer success, and useful data during the SARS-CoV-2/COVID-19 crisis.
Introducing RNAi and Immunogen Sequence Filters
Finding the immunogen and RNAi oligonucleotide sequences for antibodies and RNAi reagents has never been easier! Leverage our latest “Immunogen/Sequence” filters today to easily evaluate the specificity of your antibodies and RNAi reagents.
Introducing AI-Assisted Reagent Selection
BenchSci’s machine learning technology has officially moved beyond antibodies, enabling you to search for additional reagents — like RNAI — integral to the preclinical scientific pipeline.
BenchSci Now Decoding Additional Reagents Used in Experiments to Help You Find Verified Antibodies
BenchSci’s machine learning technology can now detect the use of RNAi reagents and recombinant proteins, to help you find verified antibodies for your experiments.
Improved Search Result Coverage With Experimental Context Aliases
BenchSci’s filters now include all the different names that experimental parameters such as cell lines can be referred to by in publications.
Searching on BenchSci Just Got Easier!
Describes new search features on BenchSci, latest search improvements and examples.
6 Unexpected Uses of BenchSci to Improve Your Research
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.
A Step-wise Guide for Successful Antibody Search
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.
Why We Doubled Published Data For Your Antibody Search, Including Papers Without Antibody Citation
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.
Jumpstart the Year with BenchSci’s Improved Antibody Search
We’re kicking off 2019 with unique validation data to further improve your antibody search.