ArticleMolecular ecology resources2019
LDJump: Estimating variable recombination rates from population genetic data.
Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models.Journal of Computational Mathematics and Data Science · 2024Article
- Exploring the role of polymorphic interspecies structural variants in reproductive isolation and adaptive divergence in Eucalyptus.GigaScience · 2024Article
- Rhometa: Population recombination rate estimation from metagenomic read datasets.PLoS genetics · 2023Article
- The Linkage-Disequilibrium and Recombinational Landscape in Daphnia pulex.Genome biology and evolution · 2022Article
- Gene flow biases population genetic inference of recombination rate.G3 (Bethesda, Md.) · 2022Article
- Variation in fine-scale recombination rate in temperature-evolved Drosophila melanogaster populations in response to selection.G3 (Bethesda, Md.) · 2022Article
- Chromosome-Level Haplotype Assembly forFrontiers in genetics · 2022Article
- Inferring recombination patterns in African populations.Human molecular genetics · 2021Review
- One is not enough: On the effects of reference genome for the mapping and subsequent analyses of short-reads.PLoS computational biology · 2021Article
- From molecules to populations: appreciating and estimating recombination rate variation.Nature reviews. Genetics · 2020Review
- Inference and analysis of population-specific fine-scale recombination maps across 26 diverse human populations.Science advances · 2019Article
- LDJump: Estimating variable recombination rates from population genetic data.Molecular ecology resources · 2019Article
- DNA Motifs Are Not General Predictors of Recombination in Two Drosophila Sister Species.Genome biology and evolution · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
As recombination plays an important role in evolution, its estimation and the identification of hotspot positions is of considerable interest. We propose a novel approach for estimating population recombination rates based on genotyping or sequence data that involves a sequential multiscale change point estimator. Our method also permits demography to be taken into account. It uses several summary statistics within a regression model fitted on suitable scenarios. Our proposed method is accurate, computationally fast, and provides a parsimonious solution by ensuring a type I error control against too many changes in the recombination rate. An application to human genome data suggests a good congruence between our estimated and experimentally identified hotspots. Our method is implemented in the R-package LDJump, which is freely available at https://github.com/PhHermann/LDJump.
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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 Socratic graph.