Fit-Seq2.0: An Improved Software for High-Throughput Fitness Measurements Using Pooled Competition Assays

The fitness of a genotype is defined as its lifetime reproductive success, with fitness itself being a composite trait likely dependent on many underlying phenotypes. Measuring fitness is important for understanding how alteration of different cellular components affects a cell's ability to reproduce. Here, we describe an improved approach, implemented in Python, for estimating fitness in high throughput via pooled competition assays.

Automated summary

The fitness of a genotype is determined by its reproductive success, which is influenced by multiple underlying phenotypes. Measuring fitness is crucial for understanding how changes in cellular components affect a cell's ability to reproduce. This study presents an improved Python-based method for estimating fitness using pooled competition assays.