What do you expect from a field where "using something new" is vastly more important than "learning" something new?

It must be the start of Land Grab Season! Maybe it is now part of Black Friday deals?

I am sure it would be better to use XML markdown where the text inside the tags was binhex. The tag labels should all be a controlled vocabulary of acronyms. The schema should guarantee that the resulting file will always be 1% larger than the free space on the storage volume...

4% male means that the young male samples are the noise in the data. That sounds like young males to me.

Sure, let's give up on the quantitative proteomics technique that works because it is a bit harder than squirting some digest into an autosampler tube. DIA is half crappy data that is not wrong and half wrong data that is even crappier. Single shot studies are noise amplifiers that go to 11. Sigh...

Maybe US HUPO can offer 10% discounts with AARP cards???

LinkedIck. There is no coming back from "the ick" according to Joanne and Morgan.

Ha-ha. What YOU want is no longer part of the algorithm.

But if you use multiomics, you can discover bogus biomarkers from any and all of the omics techniques. It is a natural exploration of how many wrongs does it take to make a right...

Proteomics has the answers (unlike OLink and SomaLogic): wear your "top down" jacket and try to keep your "bottom up" off of the slippery sidewalks...

There are more cells in the Mass Spec than in the experiments...

Maybe the instructors are confusing science with engineering. What would be beneficial is the high-level scientific gist of mass spectrometry. If you're spending more time on how ions move in electric and magnetic fields than the time it takes to read this sentence, then something is not right.

Nice presentation, Brett. What to do with the data is such a big hurdle for the entire field. Data analysis and presentation of results is almost always really awful and has not gotten better over time. It is wonderful to see Perseus not being used. Ha-ha.