Great work by Alexander Kroll, he developed deep learning models for predicting the Km of metabolic enzymes 🥳 dx.plos.org/10.1371/journal.…
Very happy to see Esther Sundermann's work published: her model of ressource allocation in C3, C3-C4 and C4 plants allowed us to interpret modern physiology in the context of evolutionary environments nature.com/articles/s41598-0…
David Heckmann retweeted
New paper out! Independent component analysis is key to understanding transcriptomics data
In a new publication, @asastry1 and colleagues show that a common structure underlies all E. coli gene expression datasets, and predict three novel regulons for the bacteria. bit.ly/3psmCsF @DTUBiosustain
David Heckmann retweeted
Exciting new postdoc opening at UCSD lewislab.ucsd.edu/join-us/ to analyze large amounts of diverse data re: #autism (e.g., genetics, RNA-seq, clinical data, imaging). Building off of our recent exciting work doi.org/10.1101/2020.05.23.1… cell.com/trends/neuroscience…
nature.com/articles/s41593-0…
David Heckmann retweeted
Due to ongoing travel restriction, I’m extending deadline for this PhD position. Please distribute widely. @westsyduhie @leaf2field
westernsydney.edu.au/schools…
David Heckmann retweeted
Robust in vivo enzyme catalytic rates can be obtained from enzyme knockout strains that have undergone laboratory evolution. These results increase our confidence in these in vivo catalytic turnover rates. bit.ly/2ESrl5l @DTUBiosustain @UCSDJacobs
Very happy to have more work from my time at @ucsd_sbrg out. We estimated maximal in vivo catalytic rates in growth-optimized knock out strains and show that max rates are robust and consistent. Building on fantastic work by @dan_davidi and @MiloLabWIS. pnas.org/content/early/2020/…
David Heckmann retweeted
Pls RT: Interested in #plant #evolution & want to use #biochemistry & #genomics / #transcriptomics to study streptophyte #algae ? Checkout the PhD student position in my lab @uniGoettingen -- fully-funded via @dfg_public MAdLand madland.science --> uni-goettingen.de/de/305402.…
David Heckmann retweeted
Graph ConvNets FTW in protein-protein interaction prediction!
MaSIF, a tool from @befcorreia and colleagues, utilizes geometric deep learning to predict protein-protein and protein-ligand interactions. nature.com/articles/s41592-0…
very impressive synthetic biology achievement by Ron Milo's lab
Article in this issue of Cell: Conversion of Escherichia coli to Generate All Biomass Carbon from CO2 - zpr.io/tYsjN
David Heckmann retweeted
Max is absolutely right. Lots of people in ML/DL know that causal inference is an important way to improve generalization.
The question is how to do it.
Prominent ML people like Bernhard Schölkopf, Léon Bottou and... diginomica.com/ai-curve-fitt…
David Heckmann retweeted
Endspurt bei der #Fachkollegien|wahl 2019:
Stimme abgeben geht nur noch bis Montag, 18. November, 14 Uhr! Die #DFG ruft alle der rund 150.000 Wahlberechtigten, die es noch nicht getan haben, auf, ihr Stimmrecht zu nutzen! Hier geht's zum Wahlportal ➡️ dfg.de/fk-wahl2019
great opportunity!
Please RT: We are hiring! This job would suit a molecular biologist who wants to learn new bioinformatic skills, or a bioinformatician who wants to get their hands dirty. The project is on photosynthesis engineering & is part of the C4 rice project bit.ly/2KanVKX
David Heckmann retweeted
PLS RT: 15 #PhD positions in #plantsci #BioInformatics #microbiome fully funded for 5 yrs. Deadline for applications: Oct 31, 2019. Starting date: Oct 2020 @ceplas_1 @HHU_de @UniCologne @mpipz_cologne @fz_juelich ceplas.eu/fileadmin/user_upl…
David Heckmann retweeted
Here’s our preprint on creating glow-in-the-dark plants. It is hard to find words to describe the fairytale feeling you get from being in a dark room with them.
biorxiv.org/content/10.1101/…
1/6
David Heckmann retweeted
Huimin Zhao shared this hilarious 1998 abstract on the “Directed Evolution of a Full Professor” at the #LSIsymposium2019. “A pool of grad student clones was [selected] on minimal money media & the ability to work long hours w/vending machine snacks as a sole carbon source.”
David Heckmann retweeted
Ustilago wants you!
We are recruiting a PhD student to join our ERC project on fungal effector biology.
stellenwerk-koeln.de/sites/d…
David Heckmann retweeted
Learning the pattern of epistasis linking genotype and phenotype in a protein
@poelwijk
go.nature.com/2lTcDS7
New preprint out: We estimated in vivo enzyme turnover numbers using metabolic knockout strains. The good news for modelers: these parameters are surprisingly stable and consistent, unlike in vitro turnover numbers. @ucsd_sbrg
biorxiv.org/content/10.1101/…
David Heckmann retweeted
Constraint-based reconstruction and analysis (COBRA) methods struggle to predict flux responses to gene knockouts doi.org/10.1016/j.ymben.2019…. We now show that kinetic models accurately predict flux rewiring with important applications in synthetic biology doi.org/10.1371/journal.pcbi….
