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Putting BASIL in a BLT: A Bayesian filtering method for estimating the fitness effects of nascent adaptive mutations

Fig 3

BASIL schematic.

A. Key quantities and processes. Each barcoded lineage i is characterized at the current time tk by its size nik and fitness (selection coefficient) sik, which are unknown. Lineage size changes over time depending on the lineage fitness and the mean fitness of the population. At each sampling time point, we measure relative lineage sizes by counting sequencing reads with the corresponding barcode. B. At the first step of Bayesian filtering, we use the model of evolution to project the past belief distribution for the hidden variables n and s and obtain their current prior distribution. At the second step, we update this distribution based on the observed read count rk. C. BASIL workflow.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1013946.g003