ArticleMolecular biology and evolution2024
fastDFE: Fast and Flexible Inference of the Distribution of Fitness Effects.
Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Bottlenecked but Booming: Strong Inbreeding in a Highly Invasive Freshwater Mussel.Molecular ecology · 2026Article
- Evolutionary Consequences of Repeated Loss of Distyly in Linum.Genome biology and evolution · 2026Article
- Gene-level complexity explains genome-wide variation in the distribution of fitness effects.Molecular biology and evolution · 2026Article
- Ambrosia beetle invasions are structured by inbreeding, intraspecific hybridization, and bridgeheads.Molecular biology and evolution · 2026Article
- Variation and selection at predicted G-quadruplexes across the human pangenome.bioRxiv : the preprint server for biology · 2026Article
- Complex Patterns of Hitchhiking Mutation Load Among Stickleback Populations.Genome biology and evolution · 2026Article
- The distribution of fitness effects of new mutations in regulatory regions of thebioRxiv : the preprint server for biology · 2026Article
- Polarising SNPs Without Outgroup.Molecular ecology resources · 2026Article
- Multispecies pangenomes reveal a pervasive influence of population size on structural variation.Science (New York, N.Y.) · 2025Article
- Heterogeneous constraint and adaptation across the malaria parasite life cycle.Proceedings. Biological sciences · 2025Article
- Strong but diffuse genetic divergence underlies differentiation in an incipient species of marine stickleback.bioRxiv : the preprint server for biology · 2025Article
- Isolating selective from non-selective forces using site frequency ratios.PLoS genetics · 2025Article
- Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.Evolution; international journal of organic evolution · 2025Article
- Comparative population pangenomes reveal unexpected complexity and fitness effects of structural variants.bioRxiv : the preprint server for biology · 2025Article
- Fitness consequences of structural variation inferred from a House Finch pangenome.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.bioRxiv : the preprint server for biology · 2024Article
- Genetic Causes and Genomic Consequences of Breakdown of Distyly in Linum trigynum.Molecular biology and evolution · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Estimating the distribution of fitness effects (DFE) of new mutations is of fundamental importance in evolutionary biology, ecology, and conservation. However, existing methods for DFE estimation suffer from limitations, such as slow computation speed and limited scalability. To address these issues, we introduce fastDFE, a Python-based software package, offering fast, and flexible DFE inference from site-frequency spectrum (SFS) data. Apart from providing efficient joint inference of multiple DFEs that share parameters, it offers the feature of introducing genomic covariates that influence the DFEs and testing their significance. To further simplify usage, fastDFE is equipped with comprehensive VCF-to-SFS parsing utilities. These include options for site filtering and stratification, as well as site-degeneracy annotation and probabilistic ancestral-allele inference. fastDFE thereby covers the entire workflow of DFE inference from the moment of acquiring a raw VCF file. Despite its Python foundation, fastDFE incorporates a full R interface, including native R visualization capabilities. The package is comprehensively tested and documented at fastdfe.readthedocs.io.
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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.