ArticleG3 (Bethesda, Md.)2025
diplo-locus: a lightweight toolkit for inference and simulation of time-series genetic data under general diploid selection.
Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation.Genome biology and evolution · 2026Article
- A novel expectation-maximization approach to infer general diploid selection from time-series genetic data.PLoS genetics · 2025Article
- A novel expectation-maximization approach to infer general diploid selection from time-series genetic data.bioRxiv : the preprint server for biology · 2025Article
- Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024Review
- Identification and validation of an m7G-related lncRNAs signature for predicting prognosis, immune response and therapy landscapes in ovarian cancer.Frontiers in genetics · 2024Article
Corrections and comments
- Update of
Authors and funding
2 authors.
Funding
Abstract
Whole-genome time-series allele frequency data are becoming more prevalent as ancient DNA sequences and data from evolve-and-resequence experiments are generated at a rapid pace. Such data present unprecedented opportunities to elucidate the dynamics of genetic variation under selection. However, despite many methods to infer parameters of selection models from allele frequency trajectories available in the literature, few provide user-friendly implementations for large-scale empirical applications. Here, we present diplo-locus, an open-source Python package that provides functionality to simulate and perform inference from time-series data under the Wright-Fisher diffusion with general diploid selection. The package includes Python modules as well as command-line tools and is available at: https://github.com/steinrue/diplo_locus.
Indexed as
Identifiers
What OpenQuestion holds
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.