rPIMS: a ShinyR package for the precision identification and modelling of livestock breeds using genomic data and machine learning approaches
rPIMS is a Shiny R application designed for breed identification in livestock using genomic data and machine learning, accessible through an intuitive graphical user interface. It is freely available under the GNU Public License on GitHub: https://github.com/Werewolfzy/rPIMS.
Authors
- Lin Jiang (ORCID: https://orcid.org/0000-0001-9123-5988)
- Benmeng Liang
- Xuexue Liu (ORCID: https://orcid.org/0000-0002-6871-2640)
- Yuhetian Zhao (ORCID: https://orcid.org/0000-0003-3947-3617)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Toulouse III - Paul Sabatier (FR)
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Institute of Molecular Medicine (IN)
- Institute of Animal Sciences (CN)
- Centre d'Anthropobiologie et de Génomique de Toulouse (FR)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf077
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China