3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics. - Deborah A. Weighill; Daniel A. Jacobson (PLoS Comput. Biol., 2015)

Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction. - Wayne Joubert; Deborah A. Weighill; David Kainer; Sharlee Climer; Amy Justice; Kjiersten Fagnan; Daniel A. Jacobson (SC, 2018)

Parallel accelerated vector similarity calculations for genomics applications. - Wayne Joubert; James Nance; Deborah A. Weighill; Daniel A. Jacobson (Parallel Comput., 2018)

A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. - Franco van Wyk; Anahita Khojandi; Brian Williams; Don Macmillan; Robert L. Davis; Daniel A. Jacobson; Rishikesan Kamaleswaran (J. Heal. Informatics Res., 2019)

Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. - Franco van Wyk; Anahita Khojandi; Brian Williams; Don Macmillan; Robert L. Davis; Daniel A. Jacobson; Rishikesan Kamaleswaran (J. Heal. Informatics Res., 2019)

Parallel accelerated Custom Correlation Coefficient calculations for genomics applications. - Wayne Joubert; James Nance; Sharlee Climer; Deborah A. Weighill; Daniel A. Jacobson (Parallel Comput., 2019)

Reusability First: Toward FAIR Workflows. - Matthew Wolf; Jeremy Logan; Kshitij Mehta; Daniel A. Jacobson; Mikaela Cashman; Angelica M. Walker; Greg Eisenhauer; Patrick M. Widener; Ashley Cliff (CLUSTER, 2021)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - Luca Pion-Tonachini; Kristofer E. Bouchard; Héctor García Martín; Sean Peisert; W. Bradley Holtz; Anil Aswani; Dipankar Dwivedi; Haruko M. Wainwright; Ghanshyam Pilania; Benjamin Nachman; Babetta L. Marrone; Nicola Falco; et al. (CoRR, 2021)

COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority. - Rachel Ramoni; Molly Klote; Sumitra Muralidhar; Cynthia Brandt; Maya A. Bernstein; Benjamin H. McMahon; Daniel A. Jacobson; Amy C. Justice (J. Am. Medical Informatics Assoc., 2021)

Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. - Kshitij Mehta; Ashley Cliff; Frédéric Suter; Angelica M. Walker; Matthew Wolf; Daniel A. Jacobson; Scott Klasky (e-Science, 2022)

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery. - Yulun Wu; Nicholas Choma; Andrew Deru Chen; Mikaela Cashman; Érica Teixeira Prates; Verónica G. Melesse Vergara; Manesh Shah; Austin Clyde; Thomas S. Brettin; Wibe Albert de Jong; Neeraj Kumar; Martha S. Head; et al. (ICLR, 2022)

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. - Kenneth Smith 003; Michael Chan; John Brandenburg; Katarina A Jones; Shawn R. Campagna; Michael Garvin; Alan R. Templeton; Daniel A. Jacobson; Carlos Cruchaga; Sharlee Climer (BIBM, 2023)

Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress. - Mikaela Cashman; Verónica G. Melesse Vergara; John H. Lagergren; Matthew Lane; Jean Merlet; Mikaela Atkinson; Jared Streich; Christopher E. Bradburne; Raina Plowright; Wayne Joubert; Daniel A. Jacobson (PASC, 2023)

Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution. - Jean Merlet; John H. Lagergren; Verónica Melesse Vergara; Mikaela Cashman; Christopher E. Bradburne; Raina Plowright; Emily Gurley; Wayne Joubert; Daniel A. Jacobson (PASC, 2023)

Frontier: Exploring Exascale. - Scott Atchley; Christopher Zimmer 001; John Lange; David E. Bernholdt; Verónica G. Melesse Vergara; Thomas Beck; Michael J. Brim; Reuben D. Budiardja; Sunita Chandrasekaran; Markus Eisenbach 002; Thomas M. Evans 001; Matthew Ezell; et al. (SC, 2023)

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. - John H. Lagergren; Mirko Pavicic; Hari B. Chhetri; Larry M. York; P. Doug Hyatt; David Kainer; Erica M. Rutter; Kevin B. Flores; Gail Taylor; Daniel A. Jacobson; Jared Streich (CoRR, 2023)