DisGeNET

Knowledge platform on human diseases and their genes

[DisGeNET @DisGeNET]

UniProt, the reference resource for proteins, provides links to DISGENET plus.
Links to DISGENET plus information on diseases associated with human genes are available to UniProt/SwissProt human protein entries.
https://t.co/5069prCDF3
https://t.co/8jiepUYkoC

[MedBioInformatics Solutions @MedBioSolutions]

🗣️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 https://t.co/BkFWLByXuN

[DisGeNET @DisGeNET]

🗣️Check out our new article! Visualization of automatically combined #diseasemaps and #pathway diagrams for #rarediseases

https://t.co/UiZ8Z7GWts
https://t.co/K0YVPgqX3I

[MedBioInformatics Solutions @MedBioSolutions]

🗣️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: https://t.co/EWxxUItnIF

[DisGeNET @DisGeNET]

The server is up and running again, thank you for your patience 😊

[DisGeNET @DisGeNET]

Due to infrastructure issues at the university, the service is not running since early today, it will be resumed in the next hours. Apologies for any inconvenience.

[Disease Ontology @diseaseontology]

@DisGeNET @pharmgkb #Biocuration #Ontologies #Bioinformatics

[DisGeNET @DisGeNET]

Thorough review and recommended best practices for leveraging human genetics to improve drug safety assessment #drugsafety #Genetics #drugdevelopment #targetvalidation

[Keren Carss @kerencarss]

I am very happy to share our review article “Using Human Genetics to Improve Safety Assessment of Therapeutics”, now published in @NatRevDrugDisc. 🧵
https://t.co/qomB9BokpO

[MedBioInformatics Solutions @MedBioSolutions]

👉🏽 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
https://t.co/BvnJJsqRYn

[DisGeNET @DisGeNET]

The services have been restored and the web interface is online again for all the operating systems.

[DisGeNET @DisGeNET]

We are experiencing accessing problems from Windows. We are working to solve this issue, apologies for any inconvenience.

[INB / ELIXIR-ES @INB_Official]

The ELIXIR Interoperability Platform updates by co-lead @SusannaASansone on the Interoperability FAIR services framework

[reactome @reactome]

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!

[MedBioInformatics Solutions @MedBioSolutions]

Come and join us at #4YFN22 #MWC22 @TransferUPF

[Bioinformatics GRIB @GRIB_Barcelona]

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 https://t.co/fYvevlQezz @IMIM_research @UPFBarcelona @the_prbb @bib

[Arcadi Navarro 🎗 @ArcadiNavarro]

The amazing Ferran Sanz presenting ⁦@DisGeNET⁩ at the ⁦@UPFbiomed⁩ meeting. A presential, lively meeting.

[DisGeNET @DisGeNET]

Diversity and molecular network patterns of symptom phenotypes
https://t.co/A8a99taTwl

[ELIXIR Europe @ELIXIREurope]

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.

https://t.co/YSswdAYEu8

[DisGeNET @DisGeNET]

New! Users can now download the variant-disease associations in DisGeNET as gmt files. See more here: https://t.co/ZNx1wlobex

[DisGeNET @DisGeNET]

Do you know that @DisGeNET provides different metrics to explore and filter the data? 👉🏽 Check out this interesting meta-analysis on transcriptomic data on Down Syndrome by @maradierssen et al as an example of using our Disease Pleiotropy Index (DPI)

[Mara Dierssen @maradierssen]

Brilliant work from @ilariodetoma and @CesarSierraN, at the @CRGenomica! that also produced two useful tools that we made freely available to the scientific community: https://t.co/rDsbGiSQWT
https://t.co/6NYCo8xs4r
Thank you also to @FondLejeune for their continued support!