Evidence map›Paper›PMID 42609994›Full record

ArticleBioinformatics advances2026

visPedigree: a comprehensive R package for tidying, analyzing, and visualizing breeding pedigrees.

Sheng Luan, Jie Kong, Zhenglong Xia, Ziyi Kang, Guangfeng Qiang, Kun Luo, Juan Sui

Abstract read
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Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sheng LuanState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.ORCID https://orcid.org/0000-0002-5220-1870
Jie KongState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.
Zhenglong XiaJiangsu Shufeng Prawn Breeding Co., Ltd., Gaoyou 225600, China.
Ziyi KangState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.
Guangfeng QiangState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.
Kun LuoState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.
Juan SuiState Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Pedigrees support relatedness control, mate allocation, inbreeding monitoring, and diversity assessment, but large breeding populations are often curated, analyzed, and visualized using separate tools and data structures. This fragmentation complicates routine analysis and reporting, particularly in high-fecundity systems with extensive full-sib structure, irregular pedigree depth, and repeated cohort-based evaluation. Results: We present visPedigree, a software package for large breeding pedigrees built around a new tidyped object model. It integrates pedigree standardization, structural validation, candidate-centered tracing, pedigree statistics, inbreeding and partial inbreeding analysis, founder- and ancestor-based diversity summaries, effective population size estimation, relationship matrices, and scalable visualization. The package also provides Shannon/Hill-based diversity measures, the pedhalflife() temporal diagnostic, and compact visualization of full-sib-dominated subsets. In a giant freshwater prawn pedigree, it produced an interpretable ancestry overview and quantified recent diversity erosion. Simulated benchmarks showed that representative workflows completed within seconds for pedigrees containing up to one million individuals on a standard laptop. Availability and implementation: visPedigree is implemented in the R language and is freely available at https://cran.r-project.org/package=visPedigree, with documentation at https://luansheng.github.io/visPedigree/.

Identifiers

PMID42609994
PMCPMC13479741

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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.