DeepAnnotation
Version 1

Workflow Type: Python

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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Version 1 (earliest) Created 14th Jun 2025 at 14:44 by Ma Wenlong

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Frozen Version-1 ca56781
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Creators
  • Wenlong Ma
  • Weigang Zheng
  • Shenghua Qin
  • Chao Wang
  • Bowen Lei
  • Yuwen Liu
Submitter
Citation
Ma, W., & Liu, Y. (2025). DeepAnnotation. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1732.1
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Views: 55   Downloads: 14

Created: 14th Jun 2025 at 14:44

Last updated: 14th Jun 2025 at 14:50

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