Research Object Crate for DeepAnnotation

Original URL: https://workflowhub.eu/workflows/1732/ro_crate?version=1

DeepAnnotation can be used to perform genomic selection (GS), which is a promising breeding strategy for agricultural breeding. DeepAnnotation predicts phenotypes from comprehensive multi-omics functional annotations with interpretable deep learning framework. The effectiveness of DeepAnnotation has been demonstrated in predicting three pork production traits (lean meat percentage at 100 kg [LMP], loin muscle depth at 100 kg [LMD], back fat thickness at 100 kg [BF]) on a population of 1940 Duroc boars with 11633164 SNPs.

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Main Workflow: DeepAnnotation
Size: 35202 bytes