Jared Broddrick
Affiliations: | 2013-2018 | University of California, San Diego, La Jolla, CA |
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"Jared Broddrick"
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| Broddrick JT, Ware MA, Jallet D, et al. (2022) Integration of physiologically relevant photosynthetic energy flows into whole genome models of light-driven metabolism. The Plant Journal : For Cell and Molecular Biology |
| Norsigian CJ, Danhof HA, Brand CK, et al. (2022) Systems biology approach to functionally assess the pangenome reveals genetic diversity with discriminatory power. Proceedings of the National Academy of Sciences of the United States of America. 119: e2119396119 |
| Broddrick JT, Szubin R, Norsigian CJ, et al. (2020) High-Quality Genome-Scale Models From Error-Prone, Long-Read Assemblies. Frontiers in Microbiology. 11: 596626 |
| Smith SR, Dupont CL, McCarthy JK, et al. (2019) Evolution and regulation of nitrogen flux through compartmentalized metabolic networks in a marine diatom. Nature Communications. 10: 4552 |
| Yang L, Mih N, Anand A, et al. (2019) Cellular responses to reactive oxygen species are predicted from molecular mechanisms. Proceedings of the National Academy of Sciences of the United States of America |
| Broddrick JT, Du N, Smith SR, et al. (2019) Cross-compartment metabolic coupling enables flexible photoprotective mechanisms in the diatom Phaeodactylum tricornutum. The New Phytologist |
| Seif Y, Monk JM, Mih N, et al. (2019) A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types. Plos Computational Biology. 15: e1006644 |
| Broddrick JT, Welkie DG, Jallet D, et al. (2018) Predicting the metabolic capabilities of Synechococcus elongatus PCC 7942 adapted to different light regimes. Metabolic Engineering |
| Yurkovich JT, Zielinski DC, Yang L, et al. (2017) Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. The Journal of Biological Chemistry |
| Broddrick JT, Rubin BE, Welkie DG, et al. (2016) Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis. Proceedings of the National Academy of Sciences of the United States of America |