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Predicted Effector Gene Aggregation, Standards and Unified Schema (PEGASUS): A Community Framework for Effector Gene Reporting.

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Title: Predicted Effector Gene Aggregation, Standards and Unified Schema (PEGASUS): A Community Framework for Effector Gene Reporting.
Authors: McMahon A; European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK., Ji Y; European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK., Jurgens JA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA., Costanzo MC; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA., Butterworth AS; British Heart Foundation Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge CB2 0BB, UK.; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge CB2 0BB, UK.; NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge CB2 0BB, UK.; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge CB2 0BB, UK.; Health Data Research UK, Wellcome Genome Campus, University of Cambridge, Hinxton CB10 1RQ, UK., Pahl M; Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.; Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA., Szyszkowski S; Open Targets, Wellcome Genome Campus, Hinxton, UK.; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK., Heilbron K; Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.; German Center for Mental Health (DZPG), partner site Berlin/Potsdam, Berlin, Germany.; Bayer AG, Research & Development, Pharmaceuticals, Berlin, Germany., Shiyanbola A; Section of Statistical Multi-omics, Department of Clinical and Experimental Medicine, University of Surrey, UK., Tsepilov Y; Open Targets, Wellcome Genome Campus, Hinxton, UK.; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK., Spracklen CN; Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA USA., Hite D; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA., Shilin A; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA., Parkinson H; European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK., Burtt N; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA., Harris LW; European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, UK.
Corporate Authors: PEG Working Group
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 17. Date of Electronic Publication: 2026 Jun 17.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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