Bovine Genome Database: integrated tools for genome annotation and discovery. - Christopher P. Childers; Justin T. Reese; Jaideep P. Sundaram; Donald C. Vile; C. Michael Dickens; Kevin L. Childs; Hanni Salih; Anna K. Bennett; Darren E. Hagen; David L. Adelson; Christine G. Elsik (Nucleic Acids Res., 2011)

Hymenoptera Genome Database: integrated community resources for insect species of the order Hymenoptera. - Monica C. Munoz-Torres; Justin T. Reese; Christopher P. Childers; Anna K. Bennett; Jaideep P. Sundaram; Kevin L. Childs; Juan M. Anzola; Natalia Milshina; Christine G. Elsik (Nucleic Acids Res., 2011)

BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity. - Brandi L. Cantarel; Daniel Weaver; Nathan McNeill; Jianhua Zhang; Aaron J. Mackey; Justin T. Reese (BMC Bioinform., 2014)

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. - Elena Casiraghi; Dario Malchiodi; Gabriella Trucco; Marco Frasca 001; Luca Cappelletti; Tommaso Fontana; Alessandro Andrea Esposito; Emanuele Avola; Alessandro Jachetti; Justin T. Reese; Alessandro Rizzi; Peter N. Robinson; et al. (IEEE Access, 2020)

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species. - Kent A. Shefchek; Nomi L. Harris; Michael A. Gargano; Nicolas Matentzoglu; Deepak R. Unni; Matthew H. Brush; Dan Keith; Tom Conlin; Nicole A. Vasilevsky; Xingmin Aaron Zhang; James P. Balhoff; Larry Babb; et al. (Nucleic Acids Res., 2020)

KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. - Marcin P. Joachimiak; Harshad Hegde; William D. Duncan; Justin T. Reese; Luca Cappelletti; Anne E. Thessen; Christopher J. Mungall (ICBO, 2021)

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Giorgio Valentini; Elena Casiraghi; Luca Cappelletti; Vida Ravanmehr; Tommaso Fontana; Justin T. Reese; Peter N. Robinson (CoRR, 2021)

GraPE: fast and scalable Graph Processing and Embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (CoRR, 2021)

Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. - Alice Scarabelli; Massimo Zilocchi; Elena Casiraghi; Pierangelo Fasani; Guido Giovanni Plensich; Alessandro Andrea Esposito; Elvira Stellato; Alessandro Petrini; Justin T. Reese; Peter N. Robinson; Giorgio Valentini; Gianpaolo Carrafiello (J. Imaging, 2021)

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. - Justin T. Reese; Deepak R. Unni; Tiffany J. Callahan; Luca Cappelletti; Vida Ravanmehr; Seth Carbon; Kent A. Shefchek; Benjamin M. Good; James P. Balhoff; Tommaso Fontana; Hannah Blau; Nicolas Matentzoglu; et al. (Patterns, 2021)

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (CoRR, 2022)

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (CoRR, 2022)

Billion-scale Detection of Isomorphic Nodes. - Luca Cappelletti; Tommaso Fontana; Justin T. Reese; David A. Bader (IPDPS Workshops, 2023)

Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. - Luca Cappelletti; Stefano Taverni; Tommaso Fontana; Marcin P. Joachimiak; Justin T. Reese; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (IWBBIO (2), 2023)

KG-Hub - Building and Exchanging Biological Knowledge Graphs. - J. Harry Caufield; Tim E. Putman; Kevin Schaper; Deepak R. Unni; Harshad Hegde; Tiffany J. Callahan; Luca Cappelletti; Sierra A. T. Moxon; Vida Ravanmehr; Seth Carbon; Lauren E. Chan; Katherina Cortes; et al. (CoRR, 2023)

An Open-Source Knowledge Graph Ecosystem for the Life Sciences. - Tiffany J. Callahan; Ignacio J. Tripodi; Adrianne L. Stefanski; Luca Cappelletti; Sanya Bathla Taneja; Jordan M. Wyrwa; Elena Casiraghi; Nicolas A. Matentzoglu; Justin T. Reese; Jonathan C. Silverstein; Charles Tapley Hoyt; Richard D. Boyce; et al. (CoRR, 2023)

MapperGPT: Large Language Models for Linking and Mapping Entities. - Nicolas Matentzoglu; J. Harry Caufield; Harshad B. Hegde; Justin T. Reese; Sierra A. T. Moxon; Hyeongsik Kim 001; Nomi L. Harris; Melissa A. Haendel; Christopher J. Mungall (CoRR, 2023)

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. - Emanuele Cavalleri; Alberto Cabri; Mauricio Soto Gomez; Sara Bonfitto; Paolo Perlasca; Jessica Gliozzo; Tiffany J. Callahan; Justin T. Reese; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (CoRR, 2023)

GRAPE for fast and scalable graph processing and random-walk-based embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Carlos Cano; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (Nat. Comput. Sci., 2023)

Ontologizing health systems data at scale: making translational discovery a reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (npj Digit. Medicine, 2023)

Using knowledge graphs to infer gene expression in plants. - Anne E. Thessen; Laurel Cooper; Tyson L. Swetnam; Harshad Hegde; Justin T. Reese; Justin Elser; Pankaj Jaiswal (Frontiers Artif. Intell., 2023)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (J. Biomed. Informatics, 2023)

An expectation-maximization framework for comprehensive prediction of isoform-specific functions. - Guy Karlebach; Leigh Carmody; Jagadish Chandrabose Sundaramurthi; Elena Casiraghi; Peter Hansen; Justin T. Reese; Christopher J. Mungall; Giorgio Valentini; Peter N. Robinson (Bioinform., 2023)

The promises of large language models for protein design and modeling. - Giorgio Valentini; Dario Malchiodi; Jessica Gliozzo; Marco Mesiti; Mauricio Soto Gomez; Alberto Cabri; Justin T. Reese; Elena Casiraghi; Peter N. Robinson (Frontiers Bioinform., 2023)

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. - Marco Nicolini; Dario Malchiodi; Alberto Cabri; Emanuele Cavalleri; Marco Mesiti; Alberto Paccanaro; Peter N. Robinson; Justin T. Reese; Elena Casiraghi; Giorgio Valentini (BIOSTEC (1), 2024)

Initial achievements in relation extraction from RNA-focused scientific papers. - Emanuele Cavalleri; Mauricio Soto Gomez; Ali Pashaeibarough; Dario Malchiodi; J. Harry Caufield; Justin T. Reese; Christopher J. Mungall; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (SEBD, 2024)

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. - Emanuele Cavalleri; Mauricio Soto Gomez; Ali Pashaeibarough; Dario Malchiodi; J. Harry Caufield; Justin T. Reese; Chris Mungall; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (VLDB Workshops, 2024)

CurateGPT: A flexible language-model assisted biocuration tool. - J. Harry Caufield; Carlo Kroll; Shawn T. O'Neil; Justin T. Reese; Marcin P. Joachimiak; Harshad Hegde; Nomi L. Harris; Madan Krishnamurthy; James A. McLaughlin; Damian Smedley; Melissa A. Haendel; Peter N. Robinson; et al. (CoRR, 2024)

Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. - Lauren E. Chan; Elena Casiraghi; Justin T. Reese; Quaker E. Harmon; Kevin Schaper; Harshad Hegde; Giorgio Valentini; Charles Schmitt; Alison A. Motsinger-Reif; Janet E. Hall; Christopher J. Mungall; Peter N. Robinson; et al. (Int. J. Medical Informatics, 2024)

Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. - J. Harry Caufield; Harshad Hegde; Vincent Emonet; Nomi L. Harris; Marcin P. Joachimiak; Nicolas Matentzoglu; Hyeongsik Kim 001; Sierra A. T. Moxon; Justin T. Reese; Melissa A. Haendel; Peter N. Robinson; Christopher J. Mungall (Bioinform., 2024)

Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI). - Sabrina Toro; Anna V. Anagnostopoulos; Susan M. Bello; Kai Lewis Blumberg; Rhiannon Cameron; Leigh Carmody; Alexander D. Diehl; Damion M. Dooley; William D. Duncan; Petra Fey; Pascale Gaudet; Nomi L. Harris; et al. (J. Biomed. Semant., 2024)

An evaluation of GPT models for phenotype concept recognition. - Tudor Groza; J. Harry Caufield; Dylan Gration; Gareth Baynam; Melissa A. Haendel; Peter N. Robinson; Christopher J. Mungall; Justin T. Reese (BMC Medical Informatics Decis. Mak., 2024)

Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing. - Jessica Gliozzo; Mauricio Soto Gomez; Valentina Guarino; Arturo Bonometti; Alberto Cabri; Emanuele Cavalleri; Justin T. Reese; Peter N. Robinson; Marco Mesiti; Giorgio Valentini; Elena Casiraghi (Artif. Intell. Medicine, 2025)

Chemical classification program synthesis using generative artificial intelligence. - Christopher J. Mungall; Adnan Malik; Daniel R. Korn; Justin T. Reese; Noel M. O'Boyle; Janna Hastings (CoRR, 2025)