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FAQ
About coexpression
No. We do not prepare the function to retrieve negative correlation for two reasons.
- Multiple probes are often available for a gene. To calculate gene-to-gene correlation between the genes with multiple probes, We use maxinum correlation among all possible probe combination for two genes of interest.
- In general, positive correlation is more useful to suggest gene function than negative correlation.
About network drawing
The actual procedure of NetworkDrawer is as follows:
- (1) Searching additional genes.
- (1-1) Checking coexpressed (Top 3 MR) genes from query genes.
- (1-2) Checking PPI genes from query genes. [option]
- (1-3) Summarizing genes with at least two edges to the query genes.
- (2) Making gene network of the genes to draw.
We used "neato" function from Graphviz as follows:
- (1) Prepare a dot file with following parameters.
- overlap=orthoxy;
- model=shortpath;
- start="[regular][1]";
- splines=true;
- fontname=Helvetica;
- node [height=.45, width=.4, fontname=Helvetica];
- (2) Create a postscript file of gene network.
- (3) Parse the postscript file for 2 purposes: (a) to decorate the network easy to see, and (b) to annotate it with KEGG annotation.
- (For small network A)
- (A-4) Convert the postscript fil to PNG file.
- (A-5) Make clickable map on html.
- (For google map network B)
- (B-4) Convert the postscript fil to PNG files with various sizes.
- (B-5) Split each of the PNG files into small rectangle PNG files with 256 x 256 picels.
- (B-6) Use Google Maps API.
Miscellaneous
Sorry. We do not prepare such function.
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Yes. Many coexpression databases are available.
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Gene-to-gene correlation (Animals)
; Gene list, ; Gene network, ; Download.
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Gene-to-gene correlation (Plants)
; Gene list, ; Gene network, ; Download.
- Sample-to-sample correlation
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