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PAST: The Pathway Association Studies Tool to Infer Biological Meaning from GWAS Datasets
In recent years, a bioinformatics method for interpreting genome-wide association study (GWAS) data using metabolic pathway analysis has been developed and successfully used to find significant pathways and mechanisms explaining phenotypic traits of interest in plants. However, the many scripts impl...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020396/ https://www.ncbi.nlm.nih.gov/pubmed/31906457 http://dx.doi.org/10.3390/plants9010058 |