ArticleFrontiers in genetics2022
GAHP: An integrated software package on genetic analysis with bi-parental immortalized heterozygous populations.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dissecting the genetic architecture of yield-related traits by QTL mapping in maize.Frontiers in plant science · 2025Article
- Integrated QTL mapping and candidate gene analysis for yield-related traits and salt tolerance in a rice RIL population.Frontiers in plant science · 2025Article
- QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize.Frontiers in plant science · 2024Article
- Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis.Frontiers in plant science · 2023Article
- Blib is a multi-module simulation platform for genetics studies and intelligent breeding.Communications biology · 2022Article
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4 authors.
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Abstract
GAHP is a freely available software package for genetic analysis with bi-parental immortalized heterozygous and pure-line populations. The package is project-based and integrated with multiple functions. All operations and running results are properly saved in a project, which can be recovered when the project is re-open by the package. Four functionalities have been implemented in the current version of GAHP, i.e., 1) MHP: visualization of genetic linkage maps; 2) VHP: analysis of variance (ANOVA) and estimation of heritability on phenotypic data; 3) QHP: quantitative trait locus (QTL) mapping on both genotypic and phenotypic data; 4) SHP: simulation of bi-parental immortalized heterozygous and pure-line populations, and power analysis of QTL mapping. VHP and QHP can be conducted in individual populations, as well as in multiple populations by the combined analysis. Input files are arranged either in the plain text format with an extension name same as the functionality or in the MS Excel formats. Output files have the same prefix name as the input file, but with different extensions to indicate their contents. Three characters before the extension names stand for the types of populations used in analysis. In the interface of the software package, input files are grouped by functionality, and output files are grouped by individual or combined mapping populations. In addition to the text-format outputs, the constructed linkage map can be visualized per chromosome or for a number of selected chromosomes; line plots and bi-plots can be drawn from QTL mapping results and phenotypic data. Functionalities and analysis methods available in GAHP help the investigation of genetic architectures of complex traits and the mechanism of heterosis in plants.
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