Top Tweets for #phenopackets
We're excited to be hosting Dr. Peter Robinson, a leading researcher in #genomics and #computationalbiology.
Join Dr. Robinson's talk w/ Dr. Monica Munoz Torres that'll explore #Phenopackets for standardized disease information sharing!
Register here: https://t.co/DHuu0ck0q8
In case you missed Peter Robinson's @pnrobins talk "Sharing phenotype & disease information with #Phenopackets": it's now available at the @GHGA_DE YouTube channel!
#GHGAtalks @hp_ontology @ConnectRD @EGAarchive @molgenis
https://t.co/F6E4r0f6oO
We are excited to welcome Peter Robinson (@pnrobins) from the @jacksonlab to #GHGAtalks today!
He is talking about "The Phenopacket schema: an open standard for sharing disease and phenotype information" !
Applications session: Talk
7. Ziying Yang talks about the use of @phenopack for exchange of curated repository (meta)data from @progenetix via the @GA4GH Beacons v2 API
#biocuration2023 #Applications #GA4GHStandards #Phenopackets
@Orphanet @ConnectRD @anarath63 @marc_hanauer @drseb_ @hp_ontology @LankanMiller @HorvathLab @cam_mito @NAR_Open @cnag_eu @corvo_alberto @LochmullerLab @rae_tee @BonneGisele @antonioatalaia @LeslieMatalonga @L_F_Johansson @UMCGgenetica @EGAarchive @DylanSpalding @drtkeane @mswertz @molgenis @EJPRareDiseases @ELIXIREurope Did you know Solve-RD is the second largest data contributor to @EGAarchive? 600TB datasets have been archived already (~1000 TB expected) & it's a pioneer in using #PhenoPackets.
Coline Thomas presented this leading use case in a flash talk & poster.
@MalloryFreeberg @drtkeane
Today's #CitationSpotlight is the 2022 paper by Ladewig et al., "@GA4GH @phenopack: A Practical Introduction".
PhenoTips is proud to support #phenopackets, helping drive research and care through responsible genomic & related-health data sharing.
https://t.co/JzeOlWASML
We contribute to @Solve_RD, the research project aiming to deliver diagnosis for most #RareDiseases 💻🧬 We archive and distribute internally to the partners the data produced
Solve-RD has been pioneer in #phenopackets submission at the EGA 🎉 @GA4GH
🔗 https://t.co/zkawZdx5bR
@GA4GH #Phenopackets: A Practical Introduction helps users encode patients' #phenotypes for #datasharing: https://t.co/v4O3rVJCAK
#openscience @MonarchInit
The 1st #GA4GH standard released by @isostandards will reshape how doctors & researchers share phenotypes—for asthma, #RareDisease, schizophrenia, and more.
https://t.co/plAWb6wRHg
Team #Phenopackets includes @StandardsCanada @ontowonka @pnrobins @QMUL_C4TB @ogishima @linsmithh
Important step towards #standards for computational phenotype analysis for translational #genomics!
In Solve-RD we also use @GA4GH #Phenopackets to share phenotypic information.
@LeslieMatalonga @deegeedeedaa @pnrobins @drseb_ @DavidePisc @GHGA_DE @hp_ontology #datasharing
The GA4GH Phenopacket schema defines a computable representation of clinical data https://t.co/EVeFB7jmbz
@GA4GH #phenopackets is now an @isostandards https://t.co/bNy7HkMCr0! Global #phenotype #datasharing! #openScience! Thanks to @genome_gov for funding!
Read all about #Phenopackets, a @GA4GH standard for phenotypic data sharing. Big congratulations to the entire team! 🍾
6 years of #teamscience, and @GA4GH #Phenopackets manuscript is out! Congratulations to all! @NatureBiotech https://t.co/W6PChnxPga #genomics Thx to @genome_gov for funding!
6 years of #teamscience, and @GA4GH #Phenopackets manuscript is out! Congratulations to all! @NatureBiotech https://t.co/W6PChnxPga #genomics Thx to @genome_gov for funding!
#Phenopackets is as important for next-generation phenotyping as #VCF was for next-generation sequencing!
In Solve-RD we also use @GA4GH #Phenopackets to share phenotypic information.
@ConnectRD @LeslieMatalonga @EJPRareDiseases @pnrobins @molgenis @mswertz @L_F_Johansson
The recently approved #GA4GH Phenopackets v2.0 expands the utility of its predecessor. Originally developed for the rare disease use case, version two enables better representation of cancer and common disease as well. Read more here: https://t.co/sLyFDC9oI2
@MATLAB @pjotrprins @dnanexus @DCGenomics @BoslKorbinian @elixirnorway @ELIXIRnodeBE @dpsaroud @gnuraph @INRAE_URGI @Atos @Gallantries_EU @SwissLipids @lipidmaps @GA4GH @stwardziok @Loredana_LePera @jessicalindvall @JettenMijke @bebatut @gxytraining @EoscLife @tatieguinoa @botanicgarden01 @xwatkins @uniprot @uni_lu @emblebi @CNRsocial_ @dswizard_org @SciBite @CDCofBC @elixir_lu @MarekSuchanek_ @pinar_alper @iansillitoe @OpenEBench @bio_dot_tools @wikidata @tktym @lubianat The final three #BioHackEU21 projects involve #biasassessment, @GA4GH #phenopackets & #COVID19, & #CWL
@Davide__Cirillo @BuslonNataly @BSC_CNS @Bioinfo4Women @nqueralt @OHDSI @galaxyproject #usegalaxy @NicolaSoranzo
Christina Hartman on @WHOSTP45 #ARPAH listening session. Need better #dataAnalytics for >10K #RareDiseases; need better #EHR data, #ontologies @hp_ontology @GA4GH #Phenopackets to enable #drugDiscovery! https://t.co/mRYDSwPgLM
#Phenopackets v2.0: Major updates include the addition of measurements and medical actions, along with improvements to the semantics of interpretation, gene and variant elements, and temporality. These changes significantly improve cancer and common disease modelling.
The #GA4GH Clinical and Phenotypic Data Capture Work Stream has developed #Phenopackets v2.0. The new deliverable is now open for public comment. https://t.co/JjIo9um9w5
EJP-RD Technical Hands-on Workshop: @GA4GH #Phenopackets
📆 Fri, 30 April, 15-17 CEST
@LeslieMatalonga will show the use of phenopackets to export and analyse phenotypic information in Solve-RD.
@EJPRareDiseases @pnrobins
More info here: https://t.co/WRPBzkO7yr
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