Serendipitous discoveries in microarray analysis. - Sally R. Ellingson; Charles A. Phillips; Randy Glenn; Douglas Swanson; Thomas Ha; Daniel Goldowitz; Michael A. Langston (BMC Bioinform., 2010)

VinaMPI: Facilitating multiple receptor high-throughput virtual docking on high-performance computers. - Sally R. Ellingson; Jeremy C. Smith; Jérôme Baudry (J. Comput. Chem., 2013)

High-throughput virtual molecular docking with AutoDockCloud. - Sally R. Ellingson; Jérôme Baudry (Concurr. Comput. Pract. Exp., 2014)

Accelerating virtual high-throughput ligand docking: current technology and case study on a petascale supercomputer. - Sally R. Ellingson; Dakshanamurthy Sivanesan; Milton Brown; Jeremy C. Smith; Jérôme Baudry (Concurr. Comput. Pract. Exp., 2014)

Convex-hull voting method on a large data set. - Sally R. Ellingson; Chi Wang; Radhakrishnan Nagarajan (BMC Bioinform., 2015)

Using large public data repositories to discover novel genetic mutations with prospective links to melanoma. - Tamas S. Gal; Sally R. Ellingson; Chi Wang; Jinpeng Liu; Stuart G. Jarrett; John A D'Orazio (BMC Bioinform., 2015)

Computationally characterizing genomic pipelines using high-confident call sets. - Xiaofei Zhang; Sally R. Ellingson (ICCS, 2016)

Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016. - Eric C. Rouchka; Julia H. Chariker; Benjamin J. Harrison; Juw Won Park; Xueyuan Cao; Stanley Pounds; Susana C. Raimondi; James R. Downing; Raul C. Ribeiro; Jeffrey Rubnitz; Jatinder Lamba; Bernie J. Daigle Jr.; et al. (BMC Bioinform., 2016)

Towards a better understanding of on and off target effects of the lymphocyte-specific kinase LCK for the development of novel and safer pharmaceuticals. - Xiaofei Zhang; Amir Kucharski; Wibe A. de Jong; Sally R. Ellingson (ICCS, 2017)

Quantifying Overfitting Potential in Drug Binding Datasets. - Brian Davis; Kevin McLoughlin; Jonathan E. Allen; Sally R. Ellingson (ICCS (3), 2020)

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. - Atanu Acharya; Rupesh Agarwal; Matthew B. Baker; Jérôme Baudry; Debsindhu Bhowmik; Swen Böhm; Kendall G. Byler; Sam Yen-Chi Chen; Leighton Coates; Connor J. Cooper; Omar Demerdash; Isabella Daidone; et al. (J. Chem. Inf. Model., 2020)

Gene-disease-drug link prediction using tripartite graphs. - Cheng Chen; Stephen K. Grady; Sally R. Ellingson; Michael A. Langston (BCB, 2021)

Open Data and transparency in artificial intelligence and machine learning: A new era of research. - Caellin M. Rodgers; Sally R. Ellingson; Parag Chatterjee (F1000Research, 2023)

In-Silico Predictions of Drug Resistance in Lung Cancers with EGFR Mutation. - Ibrahim Imam; Usman Abbas; Christian Gosser; Christine Brainson; Wibe de Jong; Xiaoqi Liu; Hunter Moseley; Shao Qing; Shulin Zhang; Ralph Zinner; Sally R. Ellingson (PASC, 2025)