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The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).

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Summer_WGCNA_Discussion

The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).

Requirements

In order to run the scripts in this repository, users need to install software, programming languages, and packages in their computing systems. The software, programming languages, and packages include:

R>=4.0.0   

jpeg
dplyr>=0.7.8
tidyr>=1.1.3
tibble>=3.1.2
stringr>=1.4.0
ggplot2>=3.3.4
WGCNA>=1.70-3

Documents

Weighted_Correlation_Network_Analysis__WGCNA.pdf - Made by Leonore Wigger, Frédéric Burdet, and Mark Ibberson

2021_06_14_WGCNA_data_cleaning.pdf
2021_06_15_WGCNA_auto_network_construction_for_B73.pdf
2021_06_15_WGCNA_auto_network_construction_for_O2.pdf
2021_06_16_WGCNA_stepwise_network_construction_for_B73.pdf
2021_06_16_WGCNA_stepwise_network_construction_for_O2.pdf
2021_06_17_WGCNA_B73_traits_heatmap.pdf
2021_06_18_WGCNA_overlap_B73_O2_modules.pdf
2021_06_22_WGCNA_average_expression_plots_for_B73.pdf
2021_06_23_WGCNA_average_expression_plots_for_B73_O2.pdf
2021_06_24_WGCNA_Summary.pdf
2021_07_05_WGCNA_intersected_genes_line_plot.pdf

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The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).

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