DisGeNET retweeted
🗣️New release of DISGENET plus (v23)
🐁New data source: Mouse Genome Database
🧬10% increase in the number of GDAs: more than 175K new GDAs available
⚕️2.5K new diseases and phenotypes incorporated into the database
👉🏽More info at disgenetplus.com/
DisGeNET retweeted
🗣️New release of DISGENET plus (v22)
🧬New associations: more than 40K new GDAs and VDAs in the DB
🧪New search functionalities for chemicals in the web and the REST API
⚕️New semantic relations between diseases
👉🏽To learn more about the new features: disgenetplus.com
DisGeNET retweeted
👉🏽 Check our new post on genetic support for FDA drug approvals in 2021
🧬DISGENET plus has genetic support for 90% of FDA drug approvals in 2021
📚This surpasses publicly available resources, which support 66% of drug approvals
#drugefficacy #Genetics
medbioinformatics.com/geneti…
DisGeNET retweeted
The ELIXIR Interoperability Platform updates by co-lead @SusannaASansone on the Interoperability FAIR services framework
DisGeNET retweeted
We are happy to introduce you to our latest feature, the @DisGeNET overlay! Now, you will be able to display directly within PathwayBrowser all the diseases a specific protein has been shown to be associated with!
DisGeNET retweeted
Looking for a job in #bioinformatics? we have four positions open at GRIB:
👉2 postdocs on #machinelearning
👉Manager assistant on research projects
👉Technical position for platform @DisGeNET
Read the details grib.imim.es/job-opportuniti… @IMIM_research @UPFBarcelona @the_prbb @bib
DisGeNET retweeted
The amazing Ferran Sanz presenting @DisGeNET at the @UPFbiomed meeting. A presential, lively meeting.
DisGeNET retweeted
Frustrated when things don't work together? 🧩😫
#Software, #data & even #datastandards can differ b/w resources, making it hard to streamline #dataanalysis.
'Recommended interoperability resources' are our list of resources overcoming this problem.
bit.ly/2KSjAPg
BridgeDb is a @ELIXIREurope Recommended Interoperability Resources (RIR) and a service of the Interoperability Platform. The purpose of RIRs are to make other tools together easier #ELIXIRRIR
DisGeNET retweeted
Generating up-to-date gene lists for genomic analysis is challenging and time consuming.
Check this article to learn how @DisGeNET supports the development of gene lists 👉🏽 doi.org/10.1038/s41436-021-0…
DisGeNET retweeted
New release of the DISGENET plus REST API!
-New endpoints for the associations (GDAs and VDAs);
-New endpoints for for genes, diseases, variants and publications;
-Free text search support and more!
Check it out 👉🏽 api.disgenetplus.com/
DisGeNET retweeted
Presenting @DisGeNET this afternoon at #JOBIM2021 Open Science and Interoperability in Bioinformatics Symposium, join us!
DisGeNET retweeted
Today's #ELIXIRFridayReads is on the new @DisGeNET @cytoscape app!
An ELIXIR Recommended Interoperability Resource developed by @INB_Official, @laura_furlong, @Janis3_14159, @imimat, @UPFbiomed.
Find out how to explore #diseasenetworks👇
bit.ly/FridayRead_35
DisGeNET retweeted
Congratulations to the @DisGeNET team for their recent publication on the DisGeNET database release 7.0 and its @cytoscape app.
DisGeNET is an open discovery platform of genes & variants associated to human diseases. It is an INB/ELIXIR-ES service and an @ELIXIREurope RIR.
Our new publication, describing release 7 of the DisGeNET platform, and the DisGeNET Cytoscape APP is now out!
The DisGeNET Cytoscape app: Exploring and visualizing disease genomics data sciencedirect.com/science/ar…
@cytoscape
DisGeNET retweeted
Excited to share our new review, Structural dynamics bridge the gap between the genetic and functional levels of GPCRs
doi.org/10.1016/j.sbi.2021.0… .
Great work @David_Gloriam @JanaSelent @MarionaTf @t00mek88 !
@ErnestNetwork @GPCR_ECC @j0kaso @gpcrdb @DisGeNET
DisGeNET retweeted
Day 4 & 5:12 open #workshops on #data, #ethics and #business #innovation in #translational #medicine.
#Disc4All Winter School @UniOulu, event info: lnkd.in/dgvJRJs
DisGeNET retweeted
Published in @NatureComms with @jure and @marinkazitnik! We present the multiscale interactome: a powerful approach to explain how drugs treat diseases. The MSI can predict treatment, explain treatment, and predict genes which alter efficacy! (1/14)
doi.org/10.1038/s41467-021-2…



























