My PhD defense is coming up in less than two weeks (29th Jan)! I'm not sure if there will be streaming available, but whoever's interested here in Bergen, please come by!
www.uib.no/nye-doktorgr...
My PhD defense is coming up in less than two weeks (29th Jan)! I'm not sure if there will be streaming available, but whoever's interested here in Bergen, please come by!
www.uib.no/nye-doktorgr...
Now open: DDLS Postdoctoral Fellowship Call 2026
22 funded postdoc projects in data-driven life science, with academic and industry tracks
Call details:
www.scilifelab.se/data-driven/...
Matchmaking platform:
www.scilifelab.se/data-driven/...
#postdoc #DDLS #SciLifeLab #researchjobs
This new resource is AMAZING. You can easily search (re-search) your proteomics data in the context of human genomics (you know, that whole thing where we don't all have the exact same genome?) Read the paper, but instructions in the blog post - proteomicsnews.blogspot.com/2024/12/proh...
And after you've done your search, you can feed your results to this little pipeline, and it will tell you who these peptides are: github.com/ProGenNo/Pro...
Here's a flowchart overview :))
Here's an overview of how many new peptides you gain in each of the databases. If you're looking for a database best suited to Europeans, then I'd go for the 1000 Genomes European superpopulation here: zenodo.org/records/12671237 (file 240530_ProHap_EUR.tar.gz)
Thanks so much for the shout-out! That's great to see you're finding this useful!
A little note on which of the fastas to use - the HRC data we got access to was aligned with an older genome build, and many variants were lost during liftover. The 50k+ variants are in the 1000 Genomes databases.
Please see the GitHub project page for all relevant info on usage, availability of the databases we have created, etc.: github.com/ProGenNo/Pro...
Thanks to @lukaskall.bsky.social, @njolstad.bsky.social and other co-authors that aren't here (yet) for their contribution!
One proteome to rule them all? We have published a tool to create custom protein databases from large panels of genotypes in @naturemethods.bsky.social. Check the post below to see why it matters, why you should use it, and how it will make your life both easier and more difficult.