VitisMod: A Database for Co-expressed Modules of Grape








Full list of all module genes and their connectivity information is available here

Source code for VitisMod is available here

Please kindly cite if you are using VitisMod.

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Note: when large module is loaded or too many connections are chosen, the network visualization may takes several minutes to show.

            

Table 1. The top correlated genes (PCC > 0.6)

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Functional enrichment for top 30 correlated genes

Table 2. The top connected neighbor genes

Your input is:

The top 30 most similar experiments are:

Your input is:

The pair-wise experiment similarities are:

Full list of condition information is available here



Genelist
    Genelist tab provides the following information about the query module: Affymetrix ID, Entrez gene ID, kTotal: total connectivity, kWithin: within module connectivity, kOut: out of module connectivity, kDiff: the difference between within module connectivity and out of module connectivity, module: the numbering of module, Gene Symbol.
Hub genes
    Hub genes provides information for top 3 connected intramodule genes
Annotations
    It provides information about the selected module, including GO and pathway enrichment.
Network
    To visualize a network module, users can select a module in the left panel. To control the network size, users can slide the percentage bar to show only the top connected connections. Users can pull and drag the element in the network.
Gene function investigation
    We may be interested in a specific gene in the module. How is the gene correlated with all other genes? What is the gene functional anntations of those highly correlated genes? Which gene is the closest neighbor? Answering these questions may help to provide some clue for the gene we are interested. In the left panel "Input a query gene for function investigation" box, users can provide an Entez Gene ID or Affymetrix ID to explore its function by gene correlation analysis.
Module signature
    As the high dimensional microarray data have been reduced to only tens of co-expressed modules, people may be interested in if those modules are correlated with a specific condition. The module level expression is summarized by its first component by PCA analysis, which represents module gene expression. Higher value suggests higher expression of that module in a specific condition. The module may represent a signature for that condition. For example, in the left panel, module 42 is selected, the "Module signature" tab shows experiments with high M42 expression. The first one is sample from day 12 after water deficit. In the "Annotations" tab, you can check that M42 genes are annotated with cell wall biogenesis.
Finding similar experiments
    Sometimes, people are interested in which condition most resambles to another experiment profile. Those similarity may indicate similar mechanisms under different condtitions. Therefore, users can provide a condtion in the "Select a condition" box. Then, the top 30 similar experiments are returned with detailed information.
Compare experiments
    The similarities between conditions are an interesting topic. For example, if you are interested in whether the gene expression patterns are more similar among biotic than that of abiotic conditions or not, you should care the correlations between those condition profiles. Thus, the Compare experiments tab provides such an analysis. You choose condtions by selecting interesting experiments from the "Select conditions to compare" box, then sample information and condition similarity are returned.
Helps
    Helps tab provides a simple document for how to use the web tool. Please contact weilau@fafu.edu.cn if you have any idea or question about our site.






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