hcapca: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R

Microbial natural product discovery programs face two main challenges today: rapidly prioritizing strains for discovering new molecules and avoiding the rediscovery of already known molecules. Typically, these problems have been tackled using biological assays to identify promising strains and techn...

Descripción completa

Detalles Bibliográficos
Autores principales: Chanana, Shaurya, Thomas, Chris S., Zhang, Fan, Rajski, Scott R., Bugni, Tim S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407629/
https://www.ncbi.nlm.nih.gov/pubmed/32708222
http://dx.doi.org/10.3390/metabo10070297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407629/
https://www.ncbi.nlm.nih.gov/pubmed/32708222
http://dx.doi.org/10.3390/metabo10070297

Ejemplares similares