Predicting the evolution of Escherichia coli by a data-driven approach
How reproducible evolutionary processes are remains an important question in evolutionary biology. Here, the authors compile a compendium of more than 15,000 mutation events for Escherichia coli under 178 distinct environmental settings, and develop an ensemble of predictors to predict evolution at...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-05807-z |