ArticleJournal of molecular evolution2023
Fit-Seq2.0: An Improved Software for High-Throughput Fitness Measurements Using Pooled Competition Assays.
Article in Journal of molecular evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Scanning the horizon: deep mutational scanning approaches in virology.Journal of virology · 2026Review
- Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026Article
- Experimental Evolution of Yeast Reveals Trade-offs Between Early and Late Stationary Phase.bioRxiv : the preprint server for biology · 2026Article
- Bayesian analysis of longitudinal RB-TnSeq resolves the fitness seascape in fluctuating environments.bioRxiv : the preprint server for biology · 2026Article
- Putting BASIL in a BLT: A Bayesian filtering method for estimating the fitness effects of nascent adaptive mutations.PLoS computational biology · 2026Article
- Evaluating Selective Quality Control in Mammalian Oogenesis: Evidence and Opportunities.Annual review of genetics · 2025Review
- Variant scoring tools for deep mutational scanning.Molecular systems biology · 2025Review
- A high-resolution two-step evolution experiment in yeast reveals a shift from pleiotropic to modular adaptation.PLoS biology · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.eLife · 2024Article
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.Nature communications · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.bioRxiv : the preprint server for biology · 2024Article
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.bioRxiv : the preprint server for biology · 2024Article
- Bayesian inference of relative fitness on high-throughput pooled competition assays.PLoS computational biology · 2024Article
- Bayesian inference of relative fitness on high-throughput pooled competition assays.bioRxiv : the preprint server for biology · 2023Article
- Best Practices in Microbial Experimental Evolution.Journal of molecular evolution · 2023Article
- Barcoding Populations of Pseudomonas fluorescens SBW25.Journal of molecular evolution · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.