//
sign in
Post
by @danabra.mov
PostEmbed
by @danabra.mov
Record
by @jimpick.com
Record
by @atsui.org
+ new component
Post
New TRR333 work from Natalie Krahmer's (Helmholtz Munich) and Jan Hasenauer's (Uni Bonn) teams: C-COMPASS, developed by Daniel Haas, makes subcellular proteomics and lipidomics accessible. The AI-based software maps proteins and lipids within cells and was applied to human adipocytes. rdcu.be/eTpEs
6mo
Nature Methods - C-COMPASS is an open-source software designed to predict the spatial cellular distribution of proteins and lipids from cellular organelle profiling using a neural network-based...
rdcu.be
C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levels
TRR333 BATEnergy