Información | Descripción |
---|---|
Curso | GWAS & quinoa + inkaverse |
Fecha | Jueves, 03 de diciembre de 2020 |
Hora | 16:00 UTC |
Idioma | Español |
Modalidad | Virtual |
Requisitos | Ninguno |
Contenido
Índice | Contenido |
---|---|
1 | Genetic markers |
2 | GWS |
3 | Quinoa + GWS |
4 | Inkaverse |
Referencias
Hamazaki, K., & Iwata, H. (2020). RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method. PLOS Computational Biology, 16(2), e1007663. https://doi.org/10.1371/journal.pcbi.1007663
Jensen, S. E., Charles, J. R., Muleta, K., Bradbury, P. J., Casstevens, T., Deshpande, S. P., Gore, M. A., Gupta, R., Ilut, D. C., Johnson, L., Lozano, R., Miller, Z., Ramu, P., Rathore, A., Romay, M. C., Upadhyaya, H. D., Varshney, R. K., Morris, G. P., Pressoir, G., … Ramstein, G. P. (2020). A sorghum practical haplotype graph facilitates genome-wide imputation and cost-effective genomic prediction. The Plant Genome, n/a(n/a). https://doi.org/10.1002/tpg2.20009
Lozano-Isla, F. (2020). Inti: Tools and Statistical Procedures in Plant Science. https://CRAN.R-project.org/package=inti
Pavan, S., Delvento, C., Ricciardi, L., Lotti, C., Ciani, E., & D’Agostino, N. (2020). Recommendations for Choosing the Genotyping Method and Best Practices for Quality Control in Crop Genome-Wide Association Studies. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.00447