The University of Cincinnati Libraries is pleased to present BenchSci to the UC research community.
BenchSci is a online platform designed to help scientists find antibody data in publications. Their proprietary machine-learning algorithm was trained by PhD-level scientists to identify and understand the usage of commercial antibodies in the research literature.
When searching for a specific protein target, BenchSci curates published data in the form of figures to simplify the literature search process. The figures can then be filtered by specific experimental contexts cited in the paper such as techniques, tissue, cell lines, and more, to help users pinpoint antibodies that have been published under experimental conditions matching their study interest.
For more information about BenchSci, please refer to this article: https://blog.benchsci.com/7-features-to-find-antibodies
To learn how to navigate BenchSci, please watch this short video: https://youtu.be/EFaDwTtqlv4
For further inquiries or feedback, contact Maurice Shen, the Head of Academic Relations at BenchSci, at email@example.com