Publications by authors named "Carla S de Mello"
Article Synopsis
- The study used principal component analysis (PCA) to cluster proteomic profiles of five potato varieties, building on previous microarray data findings.
- Proteomic analysis involved two-dimensional gel electrophoresis (2-DE) with different strip lengths, resulting in thousands of detected spots per gel.
- Results indicated successful grouping of potato samples by variety using PCA, confirming its effectiveness for proteomic data analysis.
Background: A genetically modified (GM) common bean event, namely Embrapa 5.1, was approved for commercialization in Brazil. The present work aimed to use principal component analysis (PCA) to compare the proteomic profile of this GM common bean and its non-GM counterpart.
View Article and Find Full Text PDFAn important part of the current hazard identification of novel plant varieties is comparative targeted analysis of the novel and reference varieties. Comparative analysis will become much more informative with unbiased analytical approaches, e.g.
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