total 52 drwxr-xr-x 9 www-data www-data 4096 Oct 3 11:46 . drwxrwxrwt 10 root root 12288 Oct 3 11:44 .. drwxr-xr-x 2 www-data www-data 4096 Oct 2 06:50 AEBD drwxr-xr-x 2 www-data www-data 4096 Oct 2 10:37 AGCJ drwxr-xr-x 2 www-data www-data 4096 Oct 3 06:16 AGPP drwxr-xr-x 2 www-data www-data 4096 Oct 2 05:03 GCIB drwxr-xr-x 2 www-data www-data 4096 Oct 2 16:47 GPCN drwxr-xr-x 2 www-data www-data 4096 Oct 3 10:30 KOIL drwxr-xr-x 2 www-data www-data 4096 Oct 2 09:41 LDIP -rw-r--r-- 1 www-data www-data 49 Oct 2 17:05 cache_T3oat.txt -rw-r--r-- 1 www-data www-data 53 Oct 2 17:05 cache_T3wheat.txt -rw-r--r-- 1 www-data www-data 0 Oct 3 11:46 test.txtpath = /tmp
Genomic Association and Prediction
| Genome Wide Association (consensus genotype) 1. Select a set of lines, trait, and trials (one trait). 2. Select the genetic map which has the best coverage for this set. 3. Return to this page and select model options then GWAS Analysis | Genome Wide Association (single genotype experiment) 1. Select a set of lines by genotype experiment. 2. Select a trait and phenotype trial. 3. Select the genetic map which has the best coverage for this set. 4. Return to this page and select model options then GWAS Analysis |
| Genomic Prediction 1. Select a set of lines, trait, and trials (one trait). 2. Return to this page and select G-BLUP Analysis for cross-validation of the training set. Then save Training Set. 3. To select a validation set, select a new set of lines using a different trial, then return to this page for analysis. 4. To select a prediction set, select a new set of lines without phenotype measurements, then return to this page for analysis. | |
Additional notes on GWAS and G-BLUP methods