ArticlePloS one2017
BatchMap: A parallel implementation of the OneMap R package for fast computation of F1 linkage maps in outcrossing species.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- High-density linkage map and QTL analyses for fruit quality traits in the wild blueberry relative Vaccinium stamineum.G3 (Bethesda, Md.) · 2026Article
- Leveraging foundation models to dissect the genetic basis of cluster compactness and yield in grapevine.Scientific reports · 2025Article
- Whole-genome sequencing bulked segregant analysis uncovered FW7, a Fusarium wilt resistance gene masked by epistasis in octoploid strawberry.The plant genome · 2025Article
- QTL mapping and candidate gene identification of the full flowering date trait in olive trees (Olea Europaea L.).BMC plant biology · 2025Article
- The genetic basis of chloride exclusion in grapevines.G3 (Bethesda, Md.) · 2025Article
- Developing best practices for genotyping-by-sequencing analysis in the construction of linkage maps.GigaScience · 2022Article
- Novel Fusarium wilt resistance genes uncovered in natural and cultivated strawberry populations are found on three non-homoeologous chromosomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Chromosome-Level Genome Assembly of the American Cranberry (Frontiers in plant science · 2021Article
- Inferring the Genomic Landscape of Recombination Rate Variation in European Aspen (G3 (Bethesda, Md.) · 2020Article
- An Ultra-Dense Haploid Genetic Map for Evaluating the Highly Fragmented Genome Assembly of Norway SpruceG3 (Bethesda, Md.) · 2019Article
- Genome Synteny Has Been Conserved Among the Octoploid Progenitors of Cultivated Strawberry Over Millions of Years of Evolution.Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid advancement of high throughput sequencing, large numbers of genetic markers can be readily and cheaply acquired, but most current software packages for genetic map construction cannot handle such dense input. Modern computer architectures and server farms represent untapped resources that can be used to enable higher marker densities to be processed in tractable time. Here we present a pipeline using a modified version of OneMap that parallelizes over bottleneck functions and achieves substantial speedups for producing a high density linkage map (N = 20,000). Using simulated data we show that the outcome is as accurate as the traditional pipeline. We further demonstrate that there is a direct relationship between the number of markers used and the level of deviation between true and estimated order, which in turn impacts the final size of a genetic map.
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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.