Step 1. Load data
Download Demo Data
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Use a data.frame from your environment or from the environment of a package.
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You can import .csv, .txt, .tsv, .xls, .xlsx files
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You can import from flat table format supported by
package rio
Select, rename and convert variables in table above, then apply changes by clicking button below.
Number of rows:
Step 2. Choose variables
[required] Description, one. A brief description of the GO term.
[required] ONTOLOGY, one. The category of the GO term (e.g., Biological Process [BP], Molecular Function [MF], Cellular Component [CC]).
[required] BgRatio, one. The ratio of genes associated with the GO term in the background set (e.g., all genes).
[required] GeneRatio, one. The ratio of genes associated with the GO term in your input list.
[required] p.adjust, one. The adjusted p-value, which accounts for multiple testing (e.g., using the Benjamini-Hochberg method).
[required] Count, one. The number of genes associated with the function in the input set.
Step 3. Plot!