Predicting the evolution of Escherichia coli by a data-driven approach
oleh: Xiaokang Wang, Violeta Zorraquino, Minseung Kim, Athanasios Tsoukalas, Ilias Tagkopoulos
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2018-09-01 |
Deskripsi
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 a gene level.