TesorAI has been on the blog somewhere before. As an academic I very much approve of the fact I can now process up to 500 Thermo RAW files/month!
Edit/corrections - when I first starting using TesorAI it was only Thermo RAW file compatible. I'm punishing it right now and this is clearly no longer the case.
The link above will take you to a high speed 45 second video demonstrating what you can now do with TesorAI processed data. You can tell a freaking chat bot to make your data into heatmaps and then just tell it to change the colors or add a heatmap - AND IT WILL DO IT. So so so impressed. Now....how does it do with 2 million human mutations as input sequences?
Check it all out here. https://www.tesorai.com/
Can we use this for manuscript?
ReplyDeleteLooks Great! As long as we can have an output of HOW this data was processed at each step ; ie what data transformation such as normalization, MBR, Imputation, z-scoring, thresholds used, type of representation displayed for clustering, filtering, and according to what reference/publication, etc...
ReplyDeleteI do not trust reviewers will accept just tesorAI as an excuse for not mentioning all these info in a Mat&Methods.
A + would be to display propositions on what are the flaws of the comparisons : what could be a better way to compare, suggesting to change between paired or not, increase n, strength calculation/protein etc...
This seems though to be the ultimate tool to speed up dataviz, especially for those who have used perseus...
Thanks for the interest in Tesorai! As a co-founder, I wanted to jump in—apologies for the delay, but I hope this helps current readers.
ReplyDeleteTo Anonymous: Yes, you can absolutely use Tesorai for manuscripts. We prioritize reproducibility so your "Materials & Methods" stay robust. As fguillon pointed out, simply stating that a figure was "generated with Tesorai" won't suffice for peer review. Ideally, you would provide the underlying code in a supplemental file or GitHub repo (see below on how to access that code).
To fguillon: We completely agree—"AI said so" doesn't fly with reviewers. While our chat uses optimized defaults for normalization, imputation, and z-scoring, you aren't locked into them. You can specify any transformation, threshold, or reference in your prompt.
To ensure full transparency, every response now includes a "View Code" button. This shows the exact logic and data transformations used, making it easy to document your methodology.
If you have more specific requirements, feel free to reach out at info@tesorai.com!