☰
Free tools for finding antibodies with supportive characterisation data, planning proportionate validation, documenting your results, and learning best practice — built on consensus recommendations from 32 international experts.
Search curated, independent characterisation data with knockout controls across Western blot, IP, IF, and flow cytometry. The starting point for any antibody selection.
Search the database →Marks every antibody cited in a paper with its knockout-controlled result for the application it was used in, and shows the data on hover. Matching happens in your browser — no page text is sent anywhere.
Install the extension →The principles behind proportionate validation — what your scientific question demands, how to select controls, and how to document your reasoning. The guide that underpins the tools below.
Read the framework →Answer a few questions about your target and application and get a specific plan: which antibody to choose, the knockout-controlled validation that proves it, and the controls to run — grounded in independent YCharOS characterisation data. Generates a downloadable PDF plan. A plan you save is kept by OGA; a compliance record can be shared with the funder who asked for it.
Open the Selection Tool →A quick record of your antibody validation: what the antibody was, what you used it for, which controls you ran, and why. The same questions as the Planner — filled in after the experiment.
Open the record →Sign in once for free, self-paced modules and certification in antibody validation best practice — learn the approach at your own pace, all behind a single login.
Start learning →Connect OGA to Claude, ChatGPT, or any MCP-capable assistant, then have it read a manuscript or preprint and flag which of the antibodies it cites are independently knockout-controlled — with per-application results, right inside your own chats. Ask, and it also reports which specificity controls the paper shows for them.
Connect your AI →For manufacturers, registries and data partners. The metadata associated with the antibody testing, including the recommendations and the published figures — browse and download it in the portal, or keep your own catalogue in step with ours over the API. Access is by key.
Portal & API →A community of researchers trained to support good antibody practice in their institutions, run in partnership with the NC3Rs. Get peer support and help drive change locally.
Meet the Champions →Ready-to-adopt language, practical toolkits, and stakeholder-specific guidance for implementing the Delphi consensus recommendations.
All the tools are free. What happens to what you type differs:
Gene symbols you enter are looked up against UniProt and public expression datasets. The Academy and the AI connector are covered in our Privacy Policy. Built on recommendations from a multi-stakeholder Delphi consensus study.