Additional file 8: Table S7. of Transcriptome and metabolite profiling reveals that prolonged drought modulates the phenylpropanoid and terpenoid pathway in white grapes (Vitis vinifera L.)
datasetposted on 21.03.2016 by Stefania Savoi, Darren Wong, Panagiotis Arapitsas, Mara Miculan, Barbara Bucchetti, Enrico Peterlunger, Aaron Fait, Fulvio Mattivi, Simone Castellarin
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Network analysis metrics. Detailed information concerning the various metabolite/transcript annotations, correlation relationships (PCC), and statistical significance (empirical P value) are depicted for the global (C and D) metabolite-metabolite network (A) and metabolite-transcript network in C (B) and D (C). Frequency tables for the significant metabolite-transcript correlations from (B) and (C) are summarized in (D). Correlation values (PCC, statistical significance of PCC, and correlation ranks) for the predicted monoterpene (linalool, nerol, and α-terpineol)-transcript network reported in Fig. 8a (E). Contingency tables containing enriched (P < 0.01) PLACE cis-regulatory elements and associated information (e.g., motif description, occurrence of motif within promoter regions) identified in the combined monoterpene-transcript network presented in Fig. 8a (F). (XLSX 91 kb)