total 40 drwxr-xr-x 5 www-data www-data 4096 Feb 7 10:56 . drwxrwxrwt 13 root root 12288 Feb 7 10:56 .. drwxr-xr-x 2 www-data www-data 4096 Feb 7 09:06 ANFI drwxr-xr-x 2 www-data www-data 4096 Feb 7 05:50 BNNA drwxr-xr-x 2 www-data www-data 4096 Feb 6 18:29 MMJB -rw-r--r-- 1 www-data www-data 51 Feb 6 17:09 cache_T2barley.txt -rw-r--r-- 1 www-data www-data 49 Feb 6 17:10 cache_T3oat.txt -rw-r--r-- 1 www-data www-data 53 Feb 6 17:06 cache_T3wheat.txt -rw-r--r-- 1 www-data www-data 0 Feb 7 10:56 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