Fig. 5.

Inference accuracy of the read number. Comparison of the true read number at $t_2=8$ in simulation and the read number inferred by Fit-Seq2.0 (red) and Fit-Seq (blue) for different sequencing read depths (columns) and distributions of fitness (rows). Each panel in the $3\times 3$ array corresponds to one simulation (Section Simulation). Each point corresponds to a lineage in the simulation. ${\rho }_{\mathrm{p}}$ is the Pearson correlation coefficient. ${ϵ}_{\mathrm{abs}}$ is the average absolute error, which is defined as $\mid r_2^{\ast }-{\widehat{r}}_2\mid$ for each lineage. The 4th column in shows the true distribution of the fitness f(s) in simulation. Estimates generated with Fit-Seq2.0 have a higher Pearson correlation coefficient and lower absolute error when compared with Fit-Seq across all conditions that we considered