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Selected BBOP publications

**Please note: this page is hand-curated and may be out of date. See our Paperpile folder of BBOP publications for a more complete list. Last updated 2025-02-27

  1. Hegde H, Vendetti J, Goutte-Gattat D, Caufield JH, Graybeal JB, Harris NL, Karam N, Kindermann C, Matentzoglu N, Overton JA, Musen MA, Mungall CJ. A change language for ontologies and knowledge graphs. Database (Oxford). Oxford University Press (OUP); 2025 Jan 22;2025. https://doi.org/10.1093/database/baae133 PMCID: PMC11753292
  2. Balhoff JP, Mungall CJ. Whelk: An OWL EL+RL reasoner enabling new use cases. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2024. http://dx.doi.org/10.4230/TGDK.2.2.7
  3. Vestito L, Jacobsen JOB, Walker S, Cipriani V, Harris NL, Haendel MA, Mungall CJ, Robinson P, Smedley D. Efficient reinterpretation of rare disease cases using Exomiser. NPJ Genom Med. Springer Science and Business Media LLC; 2024 Dec 18;9(1):65. http://dx.doi.org/10.1038/s41525-024-00456-2 PMCID: PMC11655964
  4. Kelliher JM, Xu Y, Flynn MC, Babinski M, Canon S, Cavanna E, Clum A, Corilo YE, Fujimoto G, Giberson C, Johnson LYD, Li KJ, Li P-E, Li V, Lo C-C, Lynch W, Piehowski P, Prime K, Purvine S, Rodriguez F, Roux S, Shakya M, Smith M, Sarrafan S, Cholia S, McCue LA, Mungall C, Hu B, Eloe-Fadrosh EA, Chain PSG. Standardized and accessible multi-omics bioinformatics workflows through the NMDC EDGE resource. Comput Struct Biotechnol J. Elsevier BV; 2024 Dec;23:3575–3583. http://dx.doi.org/10.1016/j.csbj.2024.09.018
  5. Reese JT, Chimirri L, Bridges Y, Danis D, Caufield JH, Wissink K, McMurry JA, Graefe AS, Casiraghi E, Valentini G, Jacobsen JO, Haendel M, Smedley D, Mungall CJ, Robinson PN. Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools. medRxiv. 2024 Nov 7; http://dx.doi.org/10.1101/2024.07.22.24310816 PMCID: PMC11302616
  6. Clark T, Caufield H, Parker JA, Manir SA, Amorim E, Eddy J, Gim N, Gow B, Goar W, Haendel M, Hansen JN, Harris N, Hermjakob H, Joachimiak M, Jordan G, Lee I-H, McWeeney S, Nebeker C, Nikolov M, Shaffer J, Sheffield N, Sheynkman G, Stevenson J, Chen JY, Mungall C, Wagner A, Kong SW, Ghosh SS, Patel B, Williams A, Munoz-Torres MC. AI-readiness for biomedical data: Bridge2AI recommendations. bioRxivorg. Cold Spring Harbor Laboratory; 2024 Nov 7;2024.10. 23.619844. https://scholar.google.com/citations?view_op=view_citation&hl=en&citation_for_view=NCdltcYAAAAJ:PELIpwtuRlgC PMCID: PMC11526931
  7. Caufield H, Kroll C, O’Neil ST, Reese JT, Joachimiak MP, Hegde H, Harris NL, Krishnamurthy M, McLaughlin JA, Smedley D, Haendel MA, Robinson PN, Mungall CJ. CurateGPT: A flexible language-model assisted biocuration tool. arXiv [cs.CL]. 2024. http://arxiv.org/abs/2411.00046
  8. Toro S, Anagnostopoulos AV, Bello SM, Blumberg K, Cameron R, Carmody L, Diehl AD, Dooley DM, Duncan WD, Fey P, Gaudet P, Harris NL, Joachimiak MP, Kiani L, Lubiana T, Munoz-Torres MC, O’Neil S, Osumi-Sutherland D, Puig-Barbe A, Reese JT, Reiser L, Robb SM, Ruemping T, Seager J, Sid E, Stefancsik R, Weber M, Wood V, Haendel MA, Mungall CJ. Dynamic Retrieval Augmented Generation of ontologies using artificial intelligence (DRAGON-AI). J Biomed Semantics. 2024 Oct 17;15(1):19. https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-024-00320-3 PMCID: PMC11484368
  9. Danis D, Bamshad MJ, Bridges Y, Caballero-Oteyza A, Cacheiro P, Carmody LC, Chimirri L, Chong JX, Coleman B, Dalgleish R, Freeman PJ, Graefe ASL, Groza T, Hansen P, Jacobsen JOB, Klocperk A, Kusters M, Ladewig MS, Marcello AJ, Mattina T, Mungall CJ, Munoz-Torres MC, Reese JT, Rehburg F, Reis BCS, Schuetz C, Smedley D, Strauss T, Sundaramurthi JC, Thun S, Wissink K, Wagstaff JF, Zocche D, Haendel MA, Robinson PN. A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery. HGG Adv. Elsevier BV; 2024 Oct 10;6(1):100371. http://dx.doi.org/10.1016/j.xhgg.2024.100371 PMCID: PMC11564936
  10. Matentzoglu N, Bello SM, Stefancsik R, Alghamdi SM, Anagnostopoulos AV, Balhoff JP, Balk MA, Bradford YM, Bridges Y, Callahan TJ, Caufield H, Cuzick A, Carmody LC, Caron AR, de Souza V, Engel SR, Fey P, Fisher M, Gehrke S, Grove C, Hansen P, Harris NL, Harris MA, Harris L, Ibrahim A, Jacobsen JOB, Köhler S, McMurry JA, Munoz-Fuentes V, Munoz-Torres MC, Parkinson H, Pendlington ZM, Pilgrim C, Robb SMC, Robinson PN, Seager J, Segerdell E, Smedley D, Sollis E, Toro S, Vasilevsky N, Wood V, Haendel MA, Mungall CJ, McLaughlin JA, Osumi-Sutherland D. The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics. bioRxiv. 2024. http://dx.doi.org/10.1101/2024.09.18.613276
  11. Niyonkuru E, Caufield JH, Carmody LC, Gargano MA, Toro S, Whetzel PL, Blau H, Gomez MS, Casiraghi E, Chimirri L, Reese JT, Valentini G, Haendel MA, Mungall CJ, Robinson PN. Leveraging generative AI to accelerate biocuration of medical actions for rare disease. medRxiv. 2024 Aug 22; http://dx.doi.org/10.1101/2024.08.22.24310814 PMCID: PMC11370550
  12. Chan LE, Casiraghi E, Reese J, Harmon QE, Schaper K, Hegde H, Valentini G, Schmitt C, Motsinger-Reif A, Hall JE, Mungall CJ, Robinson PN, Haendel MA. Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int J Med Inform. 2024 Jul;187:105461. http://dx.doi.org/10.1016/j.ijmedinf.2024.105461 PMCID: PMC11188727
  13. Bridges YS, de Souza V, Cortes KG, Haendel M, Harris NL, Korn DR, Marinakis NM, Matentzoglu N, McLaughlin JA, Mungall CJ, Osumi-Sutherland DJ, Robinson PN, Smedley D, Jacobsen JOB. Towards a standard benchmark for variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework. bioRxiv. 2024. p. 2024.06.13.598672. https://www.biorxiv.org/content/10.1101/2024.06.13.598672v1
  14. Mullen KR, Tammen I, Matentzoglu NA, Mather M, Mungall CJ, Haendel MA, Nicholas FW, Toro S, Vertebrate Breed Ontology Consortium, the. The Vertebrate Breed Ontology: Towards Effective Breed Data Standardization. arXiv e-prints. 2024 Jun 1;arXiv:2406.02623. https://ui.adsabs.harvard.edu/abs/2024arXiv240602623M
  15. Avaylon M, Ly R, Tritt A, Dichter B, Bouchard KE, Mungall CJ, Ruebel O. Methods for linking data to online resources and ontologies with applications to neurophysiology. ArXiv. 2024 May 30;abs/2406.00063. http://dx.doi.org/10.48550/arXiv.2406.00063
  16. Callahan TJ, Tripodi IJ, Stefanski AL, Cappelletti L, Taneja SB, Wyrwa JM, Casiraghi E, Matentzoglu NA, Reese J, Silverstein JC, Hoyt CT, Boyce RD, Malec SA, Unni DR, Joachimiak MP, Robinson PN, Mungall CJ, Cavalleri E, Fontana T, Valentini G, Mesiti M, Gillenwater LA, Santangelo B, Vasilevsky NA, Hoehndorf R, Bennett TD, Ryan PB, Hripcsak G, Kahn MG, Bada M, Baumgartner WA Jr, Hunter LE. An open source knowledge graph ecosystem for the life sciences. Sci Data. 2024 Apr 11;11(1):363. http://dx.doi.org/10.1038/s41597-024-03171-w PMCID: PMC11009265
  17. Joachimiak MP, Miller MA, Harry Caufield J, Ly R, Harris NL, Tritt A, Mungall CJ, Bouchard KE. The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies. arXiv [cs.LG]. 2024. http://arxiv.org/abs/2404.03044
  18. Cappelletti L, Rekerle L, Fontana T, Hansen P, Casiraghi E, Ravanmehr V, Mungall CJ, Yang J, Spranger L, Karlebach G, Caufield JH, Carmody L, Coleman B, Oprea T, Reese Jb>, Valentini G, Robinson PN. Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning. Bioinform Adv. 2024 Mar 4; https://academic.oup.com/bioinformaticsadvances/advance-article/doi/10.1093/bioadv/vbae036/7619101
  19. Caufield JH, Hegde H, Emonet V, Harris NL, Joachimiak MP, Matentzoglu N, Kim H, Moxon S, Reese JT, Haendel MA, Robinson PN, Mungall CJ. Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinformatics. 2024 Mar 4;40(3). http://dx.doi.org/10.1093/bioinformatics/btae104 PMCID: PMC10924283
  20. Reese JT, Danis D, Caufield JH, Groza T, Casiraghi E, Valentini G, Mungall CJ, Robinson PN. On the limitations of large language models in clinical diagnosis. medRxiv. 2024 Feb 26; http://dx.doi.org/10.1101/2023.07.13.23292613 PMCID: PMC10370243
  21. Eloe-Fadrosh EA, Mungall CJ, Miller MA, Smith M, Patil SS, Kelliher JM, Johnson LYD, Rodriguez FE, Chain PSG, Hu B, Thornton MB, McCue LA, McHardy AC, Harris NL, Reddy TBK, Mukherjee S, Hunter CI, Walls R, Schriml LM. A practical approach to using the Genomic Standards Consortium MIxS reporting standard for comparative genomics and metagenomics. Methods Mol Biol. 2024;2802:587–609. https://link.springer.com/protocol/10.1007/978-1-0716-3838-5_20 PMID: 38819573
  22. O’Neil ST, Schaper K, Elsarboukh G, Reese JT, Moxon SAT, Harris NL, Munoz-Torres MC, Robinson PN, Haendel MA, Mungall CJ. Phenomics Assistant: An Interface for LLM-based Biomedical Knowledge Graph Exploration. bioRxiv. 2024. p. 2024.01.31.578275. https://www.biorxiv.org/content/biorxiv/early/2024/02/02/2024.01.31.578275
  23. Groza T, Caufield H, Gration D, Baynam G, Haendel MA, Robinson PN, Mungall CJ, Reese JT. An evaluation of GPT models for phenotype concept recognition. BMC Med Inform Decis Mak. BioMed Central; 2024 Jan 31;24(1):1–12. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02439-w
  24. Harris NL, Fields CJ, Hokamp K, Just J, Khetani R, Maia J, Ménager H, Munoz-Torres MC, Unni D, Williams J. BOSC 2023, the 24th annual Bioinformatics Open Source Conference. F1000Res. F1000 Research Ltd; 2023 Dec 7;12:1568. https://f1000research.com/articles/12-1568/pdf
  25. Putman TE, Schaper K, Matentzoglu N, Rubinetti VP, Alquaddoomi FS, Cox C, Caufield JH, Elsarboukh G, Gehrke S, Hegde H, Reese JT, Braun I, Bruskiewich RM, Cappelletti L, Carbon S, Caron AR, Chan LE, Chute CG, Cortes KG, De Souza V, Fontana T, Harris NL, Hartley EL, Hurwitz E, Jacobsen JOB, Krishnamurthy M, Laraway BJ, McLaughlin JA, McMurry JA, Moxon SAT, Mullen KR, O’Neil ST, Shefchek KA, Stefancsik R, Toro S, Vasilevsky NA, Walls RL, Whetzel PL, Osumi-Sutherland D, Smedley D, Robinson PN, Mungall CJ, Haendel MA, Munoz-Torres MC. The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species. Nucleic Acids Res. 2023 Nov 24; http://dx.doi.org/10.1093/nar/gkad1082 PMID: 38000386
  26. Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos AV, Anderton J, Avillach P, Bagley AM, Bakštein E, Balhoff JP, Baynam G, Bello SM, Berk M, Bertram H, Bishop S, Blau H, Bodenstein DF, Botas P, Boztug K, Čady J, Callahan TJ, Cameron R, Carbon SJ, Castellanos F, Caufield JH, Chan LE, Chute CG, Cruz-Rojo J, Dahan-Oliel N, Davids JR, de Dieuleveult M, de Souza V, de Vries BBA, de Vries E, DePaulo JR, Derfalvi B, Dhombres F, Diaz-Byrd C, Dingemans AJM, Donadille B, Duyzend M, Elfeky R, Essaid S, Fabrizzi C, Fico G, Firth HV, Freudenberg-Hua Y, Fullerton JM, Gabriel DL, Gilmour K, Giordano J, Goes FS, Moses RG, Green I, Griese M, Groza T, Gu W, Guthrie J, Gyori B, Hamosh A, Hanauer M, Hanušová K, He YO, Hegde H, Helbig I, Holasová K, Hoyt CT, Huang S, Hurwitz E, Jacobsen JOB, Jiang X, Joseph L, Keramatian K, King B, Knoflach K, Koolen DA, Kraus ML, Kroll C, Kusters M, Ladewig MS, Lagorce D, Lai M-C, Lapunzina P, Laraway B, Lewis-Smith D, Li X, Lucano C, Majd M, Marazita ML, Martinez-Glez V, McHenry TH, McInnis MG, McMurry JA, Mihulová M, Millett CE, Mitchell PB, Moslerová V, Narutomi K, Nematollahi S, Nevado J, Nierenberg AA, Čajbiková NN, Nurnberger JI Jr, Ogishima S, Olson D, Ortiz A, Pachajoa H, Perez de Nanclares G, Peters A, Putman T, Rapp CK, Rath A, Reese J, Rekerle L, Roberts AM, Roy S, Sanders SJ, Schuetz C, Schulte EC, Schulze TG, Schwarz M, Scott K, Seelow D, Seitz B, Shen Y, Similuk MN, Simon ES, Singh B, Smedley D, Smith CL, Smolinsky JT, Sperry S, Stafford E, Stefancsik R, Steinhaus R, Strawbridge R, Sundaramurthi JC, Talapova P, Tenorio Castano JA, Tesner P, Thomas RH, Thurm A, Turnovec M, van Gijn ME, Vasilevsky NA, Vlčková M, Walden A, Wang K, Wapner R, Ware JS, Wiafe AA, Wiafe SA, Wiggins LD, Williams AE, Wu C, Wyrwoll MJ, Xiong H, Yalin N, Yamamoto Y, Yatham LN, Yocum AK, Young AH, Yüksel Z, Zandi PP, Zankl A, Zarante I, Zvolský M, Toro S, Carmody LC, Harris NL, Munoz-Torres MC, Danis D, Mungall CJ, Köhler S, Haendel MA, Robinson PN. The Human Phenotype Ontology in 2024: phenotypes around the world. Nucleic Acids Res. 2023 Nov 11; http://dx.doi.org/10.1093/nar/gkad1005 PMID: 37953324
  27. Matentzoglu N, Caufield JH, Hegde HB, Reese JT, Moxon S, Kim H, Harris NL, Haendel MA, Mungall CJ. MapperGPT: Large Language Models for Linking and Mapping Entities. arXiv [cs.CL]. 2023. http://arxiv.org/abs/2310.03666
  28. Antony B, Blau H, Casiraghi E, Loomba JJ, Callahan TJ, Laraway BJ, Wilkins KJ, Antonescu CC, Valentini G, Williams AE, Robinson PN, Reese JT, Murali TM, N3C consortium. Predictive models of long COVID. EBioMedicine. 2023 Sep 4;96:104777. http://dx.doi.org/10.1016/j.ebiom.2023.104777 PMID: 37672869
  29. Reese J, Danis D, Caufield JH, Casiraghi E, Valentini G, Mungall CJ, Robinson PN. On the limitations of large language models in clinical diagnosis. medRxiv. 2023. p. 2023.07.13.23292613. https://www.medrxiv.org/content/10.1101/2023.07.13.23292613v1
  30. Carmody LC, Gargano MA, Toro S, Vasilevsky NA, Adam MP, Blau H, Chan LE, Gomez-Andres D, Horvath R, Ladewig MS, Lewis-Smith D, Lochmueller H, Matentzoglu NA, Munoz-Torres MC, Schuetz C, Kraus ML, Seitz B, Similuk MN, Sparks T, Strauss T, Swietlik EM, Thompson R, Zhang XA, Mungall CJ, Haendel MA, Robinson PN. The Medical Action Ontology: A tool for annotating and analyzing treatments and clinical management of human disease. medRxiv. 2023. https://www.medrxiv.org/content/10.1101/2023.07.13.23292612v1
  31. Caufield JH, Putman T, Schaper K, Unni DR, Hegde H, Callahan TJ, Cappelletti L, Moxon SAT, Ravanmehr V, Carbon S, Chan LE, Cortes K, Shefchek KA, Elsarboukh G, Balhoff J, Fontana T, Matentzoglu N, Bruskiewich RM, Thessen AE, Harris NL, Munoz-Torres MC, Haendel MA, Robinson PN, Joachimiak MP, Mungall CJ, Reese JT. KG-Hub-building and exchanging biological knowledge graphs. Bioinformatics. 2023 Jul 1;39(7). http://dx.doi.org/10.1093/bioinformatics/btad418 PMCID: PMC10336030
  32. Joachimiak MP, Harry Caufield J, Harris N, Mungall CJ. Gene Set Summarization using Large Language Models. arXiv [q-bio.GN]. 2023. http://arxiv.org/abs/2305.13338
  33. Stefancsik R, Balhoff JP, Balk MA, Ball RL, Bello SM, Caron AR, Chesler EJ, de Souza V, Gehrke S, Haendel M, Harris LW, Harris NL, Ibrahim A, Koehler S, Matentzoglu N, McMurry JA, Mungall CJ, Munoz-Torres MC, Putman T, Robinson P, Smedley D, Sollis E, Thessen AE, Vasilevsky N, Walton DO, Osumi-Sutherland D. The Ontology of Biological Attributes (OBA)-computational traits for the life sciences. Mamm Genome. 2023 Apr 19; https://link.springer.com/10.1007/s00335-023-09992-1 PMID: 37076585
  34. Karlebach G, Carmody L, Sundaramurthi JC, Casiraghi E, Hansen P, Reese J, Mungall CJ, Valentini G, Robinson PN. An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinformatics. 2023 Apr 3;39(4). https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btad132/7079798 PMCID: PMC10079350

  35. Chan LE, Thessen AE, Duncan WD, Matentzoglu N, Schmitt C, Grondin CJ, Vasilevsky N, McMurry JA, Robinson PN, Mungall CJ, Haendel MA. The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond. J Biomed Semantics. 2023 Feb 24;14(1):3. http://dx.doi.org/10.1186/s13326-023-00283-x PMCID: PMC9951428
  36. Cappelletti L, Taverni S, Fontana T, Joachimiak MP, Reese J, Robinson P, Casiraghi E, Valentini G. Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. Bioinformatics and Biomedical Engineering. Springer Nature Switzerland; 2023. p. 372–383. http://dx.doi.org/10.1007/978-3-031-34960-7_26
  37. Reese JT, Blau H, Casiraghi E, Bergquist T, Loomba JJ, Callahan TJ, Laraway B, Antonescu C, Coleman B, Gargano M, Wilkins KJ, Cappelletti L, Fontana T, Ammar N, Antony B, Murali TM, Caufield JH, Karlebach G, McMurry JA, Williams A, Moffitt R, Banerjee J, Solomonides AE, Davis H, Kostka K, Valentini G, Sahner D, Chute CG, Madlock-Brown C, Haendel MA, Robinson PN, N3C Consortium, RECOVER Consortium. Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes. EBioMedicine. 2022 Dec 21;87:104413. http://dx.doi.org/10.1016/j.ebiom.2022.104413 PMCID: PMC9769411
  38. Gene Ontology Consortium. The Gene Ontology knowledgebase in 2023. Genetics. 2023 Mar 3; https://academic.oup.com/genetics/advance-article/doi/10.1093/genetics/iyad031/7068118 PMID: 36866529
  39. Thessen A, Cooper L, Swetnam T, Hegde H, Reese J, Elser J, Jaiswal P. Using knowledge graphs to infer gene expression in plants. Frontiers Artificial Intelligence Appl. 2023;6. https://www.frontiersin.org/articles/10.3389/frai.2023.1201002
  40. Danis D, Jacobsen JOB, Wagner AH, Groza T, Beckwith MA, Rekerle L, Carmody LC, Reese J, Hegde H, Ladewig MS, Seitz B, Munoz-Torres M, Harris NL, Rambla J, Baudis M, Mungall CJ, Haendel MA, Robinson PN. Phenopacket-tools: Building and validating GA4GH Phenopackets. PLoS One. 2023 May 17;18(5):e0285433. http://dx.doi.org/10.1371/journal.pone.0285433 PMCID: PMC10191354
  41. Karlebach G, Carmody L, Sundaramurthi JC, Casiraghi E, Hansen P, Reese J, Mungall CJ, Valentini G, Robinson PN. An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinformatics. 2023 Apr 3;39(4). https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btad132/7079798 PMCID: PMC10079350
  42. Cappelletti L, Fontana T, Casiraghi E, Ravanmehr V, Callahan TJ, Cano C, Joachimiak MP, Mungall CJ, Robinson PN, Reese J, Valentini G. GRAPE for fast and scalable graph processing and random-walk-based embedding. Nature Computational Science. Nature Publishing Group; 2023 Jun 26;3(6):552–568. https://www.nature.com/articles/s43588-023-00465-8
  43. Cappelletti L, Taverni S, Fontana T, Joachimiak MP, Reese J, Robinson P, Casiraghi E, Valentini G. Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. Bioinformatics and Biomedical Engineering. Springer Nature Switzerland; 2023. p. 372–383. http://dx.doi.org/10.1007/978-3-031-34960-7_26
  44. Tan SZK, Kir H, Aevermann BD, Gillespie T, Harris N, Hawrylycz MJ, Jorstad NL, Lein ES, Matentzoglu N, Miller JA, Mollenkopf TS, Mungall CJ, Ray PL, Sanchez REA, Staats B, Vermillion J, Yadav A, Zhang Y, Scheuermann RH, Osumi-Sutherland D. Brain Data Standards - A method for building data-driven cell-type ontologies. Sci Data. 2023 Jan 24;10(1):50. http://dx.doi.org/10.1038/s41597-022-01886-2 PMCID: PMC9873614
  45. Reese JT, Blau H, Casiraghi E, Bergquist T, Loomba JJ, Callahan TJ, Laraway B, Antonescu C, Coleman B, Gargano M, Wilkins KJ, Cappelletti L, Fontana T, Ammar N, Antony B, Murali TM, Caufield JH, Karlebach G, McMurry JA, Williams A, Moffitt R, Banerjee J, Solomonides AE, Davis H, Kostka K, Valentini G, Sahner D, Chute CG, Madlock-Brown C, Haendel MA, Robinson PN, N3C Consortium, RECOVER Consortium. Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes. EBioMedicine. 2022 Dec 21;87:104413. http://dx.doi.org/10.1016/j.ebiom.2022.104413 PMCID: PMC9769411
  46. Chan LE, Casiraghi E, Laraway B, Coleman B, Blau H, Zaman A, Harris NL, Wilkins K, Antony B, Gargano M, Valentini G, Sahner D, Haendel M, Robinson PN, Bramante C, Reese J, N3C consortium. Metformin is associated with reduced COVID-19 severity in patients with prediabetes. Diabetes Res Clin Pract. 2022 Nov 15;194:110157. http://dx.doi.org/10.1016/j.diabres.2022.110157 PMCID: PMC9663381
  47. Vasilevsky N, Matentzoglu N, Toro S, Flack J, Hamosh A, Robinson P, Haendel M, Mungall C. 129. Standardization of cancer terminology in the Mondo Disease Ontology. Cancer Genet. Elsevier; 2022 Nov 1;268:41. https://doi.org/10.1016/j.cancergen.2022.10.132
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