Ten simple rules to increase computational skills among biologists with Code Clubs. - Ada K. Hagan; Nicholas A. Lesniak; Marcy J. Balunas; Lucas Bishop; William L. Close; Matthew D. Doherty; Amanda G. Elmore; Kaitlin J. Flynn; Geoffrey D. Hannigan; Charlie C. Koumpouras; Matthew L. Jenior; Ariangela J. Kozik; et al. (PLoS Comput. Biol., 2020)

Transcriptome-guided parsimonious flux analysis improves predictions with metabolic networks in complex environments. - Matthew L. Jenior; Thomas J. Moutinho Jr.; Bonnie V. Dougherty; Jason A. Papin (PLoS Comput. Biol., 2020)

Quantifying cumulative phenotypic and genomic evidence for procedural generation of metabolic network reconstructions. - Thomas J. Moutinho Jr.; Benjamin C. Neubert; Matthew L. Jenior; Jason A. Papin (PLoS Comput. Biol., 2022)

Network analysis of toxin production in Clostridioides difficile identifies key metabolic dependencies. - Deborah A. Powers; Matthew L. Jenior; Glynis L. Kolling; Jason A. Papin (PLoS Comput. Biol., 2023)

Identifying metabolic adaptations characteristic of cardiotoxicity using paired transcriptomics and metabolomics data integrated with a computational model of heart metabolism. - Bonnie V. Dougherty; Connor J. Moore; Kristopher D. Rawls; Matthew L. Jenior; Bryan Chun; Sarbajeet Nagdas; Jeffrey J. Saucerman; Glynis L. Kolling; Anders Wallqvist; Jason A. Papin (PLoS Comput. Biol., 2024)