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10,941 to 10,950 of 13,424 Results
WEExCIM32_transposed.txt
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Plain Text - 682.9 KB - MD5: 09d24fa60b8d5ba7bc301da1280a5889
WeebilxCIMCOG32
Reformatted and transposed 1-letter nucleotide SNPs call matrix
WEExCIM49.hdf5
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Unknown - 852.1 KB - MD5: 944fcc460af40faa34be896c5ba4f7ff
WeebilxCIMCOG49
Converted data to HDF5 format for the Germinate Wheat Database
WEExCIM49_pop_axiom_SNP.xlsx
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Unknown - 1.7 MB - MD5: 8644d844c198630ae3d66ad3f067c273
WeebilxCIMCOG49
2-letter nucleotide SNPs call original matrix
WEExCIM49_transposed.txt
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Plain Text - 970.5 KB - MD5: 14f7e0ae03b3ef33b5b34838aad75977
WeebilxCIMCOG49
Reformatted and transposed 1-letter nucleotide SNPs call matrix
WEExCIM53.hdf5
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Unknown - 724.2 KB - MD5: 608e452da8470c6955b18ae690dae0f4
WeebilxCIMCOG53
Converted data to HDF5 format for the Germinate Wheat Database
WEExCIM53_pop_axiom_SNP.xlsx
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Unknown - 1.5 MB - MD5: 71db63086b39cf40441fb9bb214574c3
WeebilxCIMCOG53
2-letter nucleotide SNPs call original matrix
WEExCIM53_transposed.txt
Oct 16, 2017 - Populations Axiom SNPs Data - John Innes Centre
Plain Text - 823.8 KB - MD5: caf89809bfe8043b6fc4287542ed1efe
WeebilxCIMCOG53
Reformatted and transposed 1-letter nucleotide SNPs call matrix
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Oct 10, 2017 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Montesinos-López, José Cricelio; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", https://hdl.handle.net/11529/11099, CIMMYT Research Data & Software Repository Network, V2
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a...
Data.Trigo.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 19.1 KB - MD5: f543faa4b1f3c7b38397ae6e5309da2d
Phenotypic data
Phenotypic wheat data
Gg.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 369.0 KB - MD5: 6a64605058cc14524a8bf9a0c96b6025
Genotypic data
Genotypic maize data
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