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Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness
Beef quality is a complex phenotype that can be evaluated only after animal slaughtering. Previous research has investigated the potential of genetic markers or muscle-derived proteins to assess beef tenderness. Thus, the use of low-invasive biomarkers in living animals is an issue for the beef sect...
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| Published in: | Int J Mol Sci |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7013622/ https://ncbi.nlm.nih.gov/pubmed/31963926 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms21020664 |
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