WGCNA Network Service

Demo result of WGCNA network service.Figure 1. Demo result of WGCNA network service.

Demo result interpretation

The calculation based on weighted co-expression uses the division of modules of average hierarchical clustering, the correlation between modules and traits, selects significant traits, and constructs corresponding network diagrams to find core genes related to traits.

Features

Weighted gene co-expression network analysis (Weighted gene co-expression network analysis, WGCNA) is also named the weighted gene co-expression network analysis. According to different gene expression patterns, the basic idea is to mine genes with similar expression patterns, defined as a module. Genes with similar expression patterns are likely to be closely co-regulated. Closely related functions or members of the same signaling pathway or process have specific physiological significance.

Overall solutions

CD ComputaBio We will look for co-expressed gene modules, and explore the relationship between the gene network and the phenotype of interest, as well as the core genes in the network.

Summary and workflow

Once the β value for constructing the network is selected, four steps are required from network construction to module identification.

WGCNA network service

Step 1: calculate the dissimilarity between every two genes through topological overlap.

The similarity between two genes is calculated by topological overlap (TOM).

Step 2: get the gene cluster tree

According to the similarity between gene expression, hierarchical clustering is performed. Then through the dissimilarity conversion between genes, a gene cluster tree is obtained.

Step 3: Divide the expression consistent genes into the same module by cutting the tree.

Step 4: Merge similar modules

Our services

Project name WGCNA network service
Samples requirement Specific instructions needed from our clients for network analysis services.
Cycle Decide based on finalized study design.
Deliverables We provide you with raw data and modeling results.
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Analysis requirements

The number of samples is more than 3 groups, and each group has 3 or more sample repetitions.

The results we provide:

Picture files: cluster tree, module relation.

Text file: the genes of each module and the correlation between genes.

The correlation between modules.

CD ComputaBio provides corresponding WGCNA network service, which has proven to be very useful for understanding the biochemical basis of physiological events at different stages of drug development (even in different fields such as materials science). CD ComputaBio team has been working in this field for more than ten years and has published his findings in top scientific journals. If you have a need for network analysis services, please feel free to contact us.

We provide a variety of modeling services, but not limited to:

* For Research Use Only.
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