Ulas Lab retweeted
Differential cell type-specific function of the #aryl #hydrocarbon #receptor and its repressor in #diet-induced #obesity and #fibrosis #MolMetab #FoersterLab #ThieleLab @Ulas_Lab @UniBonn @DZNE_en; #metabolic #dysfunction shorturl.at/FGkj3
Ulas Lab retweeted
📢 Get ready to explore gene regulatory networks in our new #SpecialIssue! Learn about their role in biology, disease mechanisms, and therapeutic targeting. Join us now on this innovative journey! 🧬
👉 brnw.ch/21wK3u0
#computational #modeling #disease #transcriptomics
Ulas Lab retweeted
Online now: hCoCena: A toolbox for network-based co-expression analysis and horizontal integration of transcriptomic datasets dlvr.it/T3t7bz #protocol #starprotocols #cellpress
Ulas Lab retweeted
hCoCena: A toolbox for network-based co-expression analysis and horizontal integration of #transcriptomic #datasets #STARProt @CellCellPress #UlasLab @UniBonn #Bioinformatics; #Computer sciences; #Genomics shorturl.at/dKQ25
🧬 Bioinformatics PhD 📢🚨! Be part of our MSCA Doctoral Networks at the University of Bonn. Explore bulk and single-cell immunological data in advanced research. Exciting opportunity awaits! Apply now! Dreamteam @ImmunoTal+@Ulas_Lab #Bioinformatics @UniBonn @ImmunoSens 🧫🔬🧪
Ulas Lab retweeted
Co-expression networks have been utilized as a method to describe and study gene relationships. Furthermore, it can be utilized to integrate different omics datasets.
🎈Find more at mdpi.com/si/119775
Welcome to share your latest research results with us!
#CallForPapers
🧬 Are you a bioinformatics wizard looking for a challenge? The University of Bonn invites you to join our team! Explore immunological bulk and single-cell transcriptome data in a cutting-edge research environment. Apply now for a Dec 2023 start!🌟 #PhDPosition #Bioinformatics
Ulas Lab retweeted
Open #PhDposition @LabSchultze @LIMES_Bonn #Femmunity team: Join us to study the effects of #traditionaldiet and #urbanization on #immune and #vaccine responses in people living obesity in #Tanzania 🇹🇿🥣👩🔬 #populationstudy #Bioinformatics details here >> bit.ly/phd_transinf
Ulas Lab retweeted
#PhDposition @LabSchultze @LIMES_Bonn @DZNE_en
Join my #Femmunity research team to study the effects of #traditionaldiet on the #immunesystem & many more fascinating projects focused on #femaleimmunity & #immunesexdifferences.
More info here>> bit.ly/transinf_phd 🥣👩🔬👨🔬📊
Very proud of @HolstenLisa who presented her work on our collaboration with AG Viemann @Uniklinikum_Wue deciphering the neonatal #immunesystem during #Influenza infection using #hcocena
Congratulations to all winners! Happy to see our own @limes_wis among the winners: @HolstenLisa ( #PhD from AG Ulas @urealtomek) and Ronja Molkenbur (#BSc from AG Kiermaier @EviKiermaier ) 🍾🏆 @LIMES_Bonn
Ulas Lab retweeted
Are you interested in myeloid cells and curious about their metabolic regulation in chronic respiratory disease? Then apply to the available PhD position in our lab and join our interdisciplinary team at the @LungHealthMUC, part of @HelmholtzMunich! jobs.helmholtz-muenchen.de/j…
Very proud of this piece that summarizes what we have learned (sometimes painfully) over the past years using #omics techniques for #immunology. For sure #teamwork is the most important factor! @LorenzoBonaguro @jsschrepping
Are you an immunologist & want to dive into the omics world? Then this might be a good start!
Super excited to share our guide to systems-level immunomics, online now in @NatImmunol go.nature.com/3dFFMeY
Congratulations to our very own @LorenzoBonaguro @jsschrepping @urealtomek
Ulas Lab retweeted
‼️ Almost ready! Tomorrow, the show begins‼️ Registrations on-site still possible. Visit emds2022.com and programm.conventus.de/index.… for more details about the venue and program @EuMacDcSoc @UniBonn @LIMES_Bonn
Ulas Lab retweeted
🚨🚨🚨Very excited and proud of our very own @MarieO126 to showcase her brilliant work on #CoCena at #eurobioc2022! Check out her recent paper here: bit.ly/3DfSwDc
We are excited to announce that our tool #cocena has been published #openaccess in @OUPBioinfo by @MarieO126 and the team!! It offers advanced #CoexpressionNetwork analysis including #dataintegration. Check it out here👉bit.ly/3DfSwDc. @labulas @LabSchultze @limes @dzne
The #Coxpression analysis can be further expanded by a large variety of analyses, allowing in-depth data exploration, including hub detection, #PCA, count distributions, metadata correlation, geneset visualization, network models, #TranscriptionFactor prediction, and more.
