geneHapR: an R package for gene haplotypic statistics and visualization

文献类型： 外文期刊

第一作者： Zhang, Renliang

作者： Zhang, Renliang;Jia, Guanqing;Diao, Xianmin

作者机构：

关键词： geneHapR; R; Haplotype identification; Visualization; Network; LD-block

期刊名称：BMC BIOINFORMATICS （ 影响因子：3.0； 五年影响因子：4.3 ）

ISSN： 1471-2105

年卷期： 2023 年 24 卷 1 期

页码：

收录情况： SCI

摘要： BackgroundTogether with application of next-generation sequencing technologies and increased accumulation of genomic variation data in different organism species, an opportunity for effectively identification of superior alleles of functional genes to facilitate marker-assisted selection is emerging, and the clarification of haplotypes of functional genes is becoming an essential target in recent study works.ResultsIn this paper, we describe an R package 'geneHapR' developed for haplotypes identification, statistics and visualization analysis of candidate genes. This package could integrate genotype data, genomic annotating information and phenotypic variation data to clarify genotype variations, evolutionary-ship, and morphological effects among haplotypes through variants visualization, network construction and phenotypic comparison. 'geneHapR' also provides functions for Linkage Disequilibrium block analysis and visualizing of haplotypes geo-distribution.ConclusionsThe R package 'geneHapR' provided an easy-to-use tool for haplotype identification, statistic and visualization for candidate gene and will provide useful clues for gene functional dissection and molecular-assistant pyramiding of beneficial alleles of functional locus in future breeding programs.

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