Core Genomic Analysis Functions for Breeding Insight

BIGr is an R package developed by Breeding Insight that provides a robust set of functions for analyzing genomic and pedigree data in diploid and polyploid breeding programs. It’s designed to streamline the analysis of breeding and genetic data, empowering researchers and breeders to make informed decisions.

Funding

BIGr development is supported by Breeding Insight, a USDA-funded initiative based at Cornell University.

Citation

If you use BIGr in your research, please cite the two sources below:

• Sandercock A.M., Peel M.D., Taniguti C.H., Chinchilla-Vargas J., Chen S., Sapkota M., Lin M., Zhao D., Ackerman A.J., Basnet B.R., Beil C.T., Sheehan M.J. (2025). BIGapp: A User-Friendly Genomic Tool Kit Identified Quantitative Trait Loci for Creeping Rootedness in Alfalfa (Medicago sativa L.)., The Plant Genome. In Production.

• Sandercock, Alexander M., Cristiane H. Taniguti, Josue Chinchilla-Vargas, Dongyan Zhao, Shufen Chen, Meng Lin, Manoj Sapkota, and Breeding Insight Team. 2025. “Breeding Insight Genomics Functions for Polypoid and Diploid Species.” https://doi.org/10.32614/CRAN.package.BIGr