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

2023/03/06 by Fangfei Li, Jason Tarkington, Gavin Sherlock · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Single-cell and spatial transcriptomics #Viral Infections and Immunology Research #Biotin and Related Studies

paper · pdf · doi:10.1007/s00239-023-10098-0

Abstract

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.

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