A machine learning-based service for estimating quality of genomes using PATRIC. - Bruce D. Parrello; Rory Butler; Philippe Chlenski; Robert Olson; Jamie C. Overbeek; Gordon D. Pusch; Veronika Vonstein; Ross A. Overbeek (BMC Bioinform., 2019)

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities. - James J. Davis 002; Alice R. Wattam; Ramy K. Aziz; Thomas S. Brettin; Ralph Butler; Rory Butler; Philippe Chlenski; Neal Conrad; Allan Dickerman; Emily M. Dietrich; Joseph L. Gabbard; Svetlana Gerdes; et al. (Nucleic Acids Res., 2020)

Deep learning methods for drug response prediction in cancer: predominant and emerging trends. - Alexander Partin; Thomas S. Brettin; Yitan Zhu; Oleksandr Narykov; Austin Clyde; Jamie C. Overbeek; Rick L. Stevens (CoRR, 2022)

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. - Robert D. Olson; Rida Assaf; Thomas S. Brettin; Neal Conrad; Clark Cucinell; James J. Davis 002; Donald M. Dempsey; Allan Dickerman; Emily M. Dietrich; Ronald W. Kenyon; Mehmet Kuscuoglu; Elliot J. Lefkowitz; et al. (Nucleic Acids Res., 2023)

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. - Jamie C. Overbeek; Alexander Partin; Thomas S. Brettin; Nicholas Chia; Oleksandr Narykov; Priyanka Vasanthakumari; Andreas Wilke; Yitan Zhu; Austin Clyde; Sara Jones; Rohan Gnanaolivu; Yuanhang Liu; et al. (CoRR, 2024)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Alexander Partin; Priyanka Vasanthakumari; Oleksandr Narykov; Andreas Wilke; Natasha Koussa; Sara E. Jones; Yitan Zhu; Jamie C. Overbeek; Rajeev Jain; Gayara Demini Fernando; Cesar Sanchez-Villalobos; Cristina Garcia-Cardona; et al. (CoRR, 2025)