"How can 'simple' microbes adapt to so many different environments, even when these environments change unpredictably?" This is the question that @TjalmaAge and me set out to answer in 2019. Our main finding was just published: https://t.co/q1yWX401mk A short background story:
@mozh7es@DucheneJohan It's in the paper, figure 2! I don't know why it was cut off in this Tweet by @DucheneJohan. You can find our paper here: https://t.co/PSML4cgHkq
Here it is! Bonsai. No more excuse to use t-SNE/UMAP. Bonsai not only makes cool pictures of your data. It actually rigorously preserves its structure. No tunable parameters. Absolutely incredible work of @dhdegroot.bsky.social. I'm so excited about this. https://t.co/GXY272qHUV
Dear scRNA-seq people. I'd like the hive's opinion. What current scRNA-seq datasets or dataset collections would you say are most widely used by other researchers? Are they also the most high-quality datasets. And ARE they widely used by others? Thanks and please RT.
The Swiss science foundation SNF has been functioning superbly and is the envy of many abroad. Now there are VERY worrisome plans to fundamentally change the way it operates. If you are a scientist eligible for SNF funding, consider signing this petition.
https://t.co/V7D89ziyJy
We are hiring! Are you looking for a Postdoc, excited about applying micro-compartmented cultivation systems in industrial microbiology, and interested in being actively engaged in the other research activities in my group? See the vacancy below!
https://t.co/4FlBTyWLvg
📢 New in @NatureComms we investigate the limits of symbolic regression: Can we always learn a model from data? We find a transition between a learnable and an unlearnable regime, where no algorithm can ever discover the model that truly generated the data
https://t.co/4E4FSo3E94
metabolites and reactions). Hopefully, at some point, ECM enumeration will become a standard step in any metabolic reconstruction pipeline, such that a full metabolic characterization of any sequenced organism is always available.
Together with @BeeAnka_A, @Tom_Clement, and @enit7677, we made ecmtool better: https://t.co/U4dSnkGL5N ! What is ecmtool? The tool that gives you a complete characterization of the metabolic capabilities of any organism! A nerdy thread on a very nice scientific synergy:
in which ecmtool may be scaled even further. We hope that publishing this improved version will motivate more people to make it better! Because we are getting closer and closer to being able to enumerate all ECMs for any genome-scale metabolic network (which typically have ~2000