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PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling
BACKGROUND: Computational methods based on initial screening and prediction of peptides for desired functions have proven to be effective alternatives to lengthy and expensive biochemical experimental methods traditionally utilized in peptide research, thus saving time and effort. However, for many...
Autores principales: | Joshi, Jayadev, Blankenberg, Daniel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148462/ https://www.ncbi.nlm.nih.gov/pubmed/35643441 http://dx.doi.org/10.1186/s12859-022-04727-6 |
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