What we do
We are interested in understanding the design constraints, robustness, and evolution of gene regulatory systems, particularly at the level of transcription, using both modeling and data-driven approaches.
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Main publications 2019
- Payne J L et al.
The causes of evolvability and their evolution
Nature Reviews Genetics, https://doi.org/10.1038/s41576-018-0069-z - Zheng J et al.
Cryptic genetic variation accelerates evolution by opening access to diverse adaptive peaks
Science, doi: 10.1126/science.aax1837 - Payne J L et al.
Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis
PLoS Biology, https://doi.org/10.1371/journal.pbio.3000265
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