10,961 to 10,970 of 13,451 Results
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 319.2 KB -
MD5: 8168b40493dbca2b92ced5e85074ad13
Converted data to HDF5 format for the Germinate Wheat Database |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 1.3 MB -
MD5: eba47230c2ff11702b6a04484a2472c7
2-letter nucleotide SNPs call original matrix |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Plain Text - 682.9 KB -
MD5: 09d24fa60b8d5ba7bc301da1280a5889
Reformatted and transposed 1-letter nucleotide SNPs call matrix |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 852.1 KB -
MD5: 944fcc460af40faa34be896c5ba4f7ff
Converted data to HDF5 format for the Germinate Wheat Database |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 1.7 MB -
MD5: 8644d844c198630ae3d66ad3f067c273
2-letter nucleotide SNPs call original matrix |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Plain Text - 970.5 KB -
MD5: 14f7e0ae03b3ef33b5b34838aad75977
Reformatted and transposed 1-letter nucleotide SNPs call matrix |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 724.2 KB -
MD5: 608e452da8470c6955b18ae690dae0f4
Converted data to HDF5 format for the Germinate Wheat Database |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Unknown - 1.5 MB -
MD5: 71db63086b39cf40441fb9bb214574c3
2-letter nucleotide SNPs call original matrix |
Oct 16, 2017 -
Populations Axiom SNPs Data - John Innes Centre
Plain Text - 823.8 KB -
MD5: caf89809bfe8043b6fc4287542ed1efe
Reformatted and transposed 1-letter nucleotide SNPs call matrix |
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... |
