Users can upload PED, MAP, and phenotype files for the GS analysis. Please note that the input files for the reference and candidate population should be prepared separately and have an identical set of genetic markers. Please --download the example datasets-- and check the tutorial for detailed information about the file formats. The PED, MAP, and phenotype files for the reference population should be named as “mydata.ref.ped”, “mydata.ref.map”, and “mydata.ref.phe”. The PED and MAP files for the candidates should be named as “mydata.predict.ped” and “mydata.predict.map”. Please note, users can upload a file with a maximum size of 50MB. Datasets larger than that should be uploaded via FTP or analyzed locally with the standalone package.
Users can predict Genomic Estimated Breeding Values (GEBV) with one of three GS models: Genomic Best Linear Unbiased Prediction (GBLUP), Bayesian Lasso, and Sparse Neural Networks (SNN).
High levels of linkage disequilibrium (LD) and low quality SNPs affect both performance and efficiency of GS models. High LD and low quality SNPs were pruned by default. Please note, analysis of large dataset could be very slow when turning off this setting.
LD pruning and quality control
Users can select this setting to conduct 10-fold Cross-validation (CV) on reference dataset. Please note, the analysis time will be significantly increased when turning on this setting.
Cross-validation control
Be notifled by email (Tick this box if you want to be notified by email when the results are available)
if available,the title will be included in the subject of the notification email and can be used as a way to identify your analysis.
You may bookmark the following web address and view your results later. Please note that the results will be stored for 7 days.
Download all the results
Due to security concerns, the FTP functionality is temporarily disabled. If the file size is larger than 50MB, please use the standalone package