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@ireceptorgw is pleased to announce the availability of the data from Rawat et al., ~280M annotated #FAIR #AIRR TCRs now available through the @airr_community #AIRRDataCommons. medrxiv.org/content/10.1101/โ€ฆ
Extremely pleased to share our new work in collaboration with the @Bruskolab lab where we leveraged one of the largest TCRbeta sequencing datasets to identify T1D-associated TCR-based signatures. Paper link and ๐Ÿงต are below. Incredible work led by @puneet021192.
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Great to be collaborating with @victorgreiff and colleagues on this new repository and new study. Looking forward to continuing to grow the @airr_community #AIRRDataCommons and provide more #FAIR #AIRRseq data to the research community!
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The iReceptor team is pleased to announce a new repository and a new study in the @airr_community #AIRRDataCommons in collaboration with @victorgreiff @KhangLeQuy @ISnapkov @mchernigovskaia and @jakegalson.
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If you are interested in sharing #T1D #AIRRseq data in the @airr_community #AIRRDataCommons, please reach out to the #T1D #AIRRseq consortium members @ireceptorgw, @bcorrie, @Bruskolab, Aaron Michels @CUAnschutz, @thesugarscience, @BonamiRachel, @StephanieJHanna.
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We are happy to announce a third #SingleCell #AIRRseq study available in the @airr_community #AIRRDataCommons. #TCell #SingleCell and #GEX data from @Minervina_Asya et al. nature.com/articles/s41590-0โ€ฆ added and searchable through @ireceptorgw

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Great to be working with the broader community on sharing #AIRRseq data in the @airr_community #AIRRDataCommons - over 5 billion annotated sequences (including clone and single-cell data) available for search, analysis, and download through @ireceptorgw.
July @ireceptorgw update: 3 paper and 2 preprint citations, with a focus around #anitbody search/discovery and #AIRRseq #immune #repertoire clustering, network analysis, #AI/#ML. The power of Billions of #AIRRseq annotated sequences in the @airr_community #AIRRDataCommons
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July @ireceptorgw update: 3 paper and 2 preprint citations, with a focus around #anitbody search/discovery and #AIRRseq #immune #repertoire clustering, network analysis, #AI/#ML. The power of Billions of #AIRRseq annotated sequences in the @airr_community #AIRRDataCommons
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June update - 3 new papers citing @ireceptorgw as a source for #FAIR #AIRRseq data reuse from @airr_community #AIRRDataCommons. Data reuse trending towards #ML and #EpitopeSpecifity - glad @ireceptorgw has been helpful!!! ๐Ÿงต
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29 Jun 2023
Replying to @tangming2005
How about @ireceptorgw and the @airr_community #AIRRDataCommons with new #singlecell #BCR #TCR capabilities. Only a few #singlecell studies now but over 80 bulk #AIRRseq studies and we expect #singlecell to catch up.
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11 May 2023
Replying to @Hamad_JHU_Lab
Happy to have worked with @Hamad_JHU_Lab in utilizing @airr_community #AIRRDataCommons and @ireceptorgw to explore the frequency of public #CDR3 from #BCell and #TCell data. The power of #FAIR #AIRRseq data!
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@ireceptorgw is pleased to announce the addition of a new repository and new #T1D study in the @airr_community #AIRRDataCommons. In collaboration with @prak_nina, 124 repertoires and 1.1M rearrangements from @TheHPAP.
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@thesugarscience is pleased to have initiated and facilitated the build of the first #T1Drepository! After @ireceptorgw's new update with @bruskolab's first study there are 73.2 million sequences (602 repertoires) now available. ๐Ÿ”—: tinyurl.com/2p8empdx@airr_coโ€ฆ #AIRRDataCommons
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New update to @ireceptorgw's #T1D #repository! @Bruskolab's first study is now up, bringing the total number of sequences in the #T1Drepository to 73.2 million (602 repertoires). Direct link to the new study uploaded: tinyurl.com/2p8empdx @airr_community #AIRRDataCommons
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A second #T1D study has been added to the @airr_community #AIRRDataCommons, searchable through gateway.ireceptor.org. 6.9M annotated #TCR/#BCR from Seay et al "Tissue distribution and clonal diversity of the T and B cell repertoire in type 1 diabetes" insight.jci.org/articles/vieโ€ฆ

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20 Mar 2023
We continue to work towards a truly global #AIRRDataCommons of #tcell #bcell and #singlecell #immunology data based on #FAIR principles using @airr_community data sharing standards.
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Great insight: "...a data commons is a partnership between the data scientists developing and supporting the commons and the disciplinary scientists with the research challenges." @airr_community #AIRRStandards @ireceptorgw makes the #AIRRDataCommons the resource that it is!
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