| Catalyst: Fast and flexible modeling of reaction networks TE Loman, Y Ma, V Ilin, S Gowda, N Korsbo, N Yewale, C Rackauckas, ... PLOS Computational Biology 19 (10), e1011530, 2023 | 22 | 2023 |
| A novel method for predicting ribosomal RNA genes in prokaryotic genomes T Loman | 22 | 2017 |
| Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit CP Schwall, TE Loman, BMC Martins, S Cortijo, C Villava, V Kusmartsev, ... Molecular Systems Biology 17 (7), e9832, 2021 | 20 | 2021 |
| Catalyst: fast biochemical modeling with Julia TE Loman, Y Ma, V Ilin, S Gowda, N Korsbo, N Yewale, C Rackauckas, ... bioRxiv, 2022.07. 30.502135, 2022 | 17 | 2022 |
| Nonlinearsolve. jl: High-performance and robust solvers for systems of nonlinear equations in julia A Pal, F Holtorf, A Larsson, T Loman, F Schäefer, Q Qu, A Edelman, ... arXiv preprint arXiv:2403.16341, 2024 | 14 | 2024 |
| How bacteria tune mixed positive/negative feedback loops to generate diverse gene expression dynamics T Loman | 2 | 2023 |
| The σB alternative sigma factor circuit modulates noise to generate different types of pulsing dynamics TE Loman, JCW Locke PLoS Computational Biology 19 (8), e1011265, 2023 | 1 | 2023 |
| Mixed positive and negative feedback loops drive diverse single-cell gene expression dynamics TE Loman, CP Schwall, T Saez, Y Liu, J Locke bioRxiv, 2025.01. 14.632931, 2025 | | 2025 |
