SIEGE - Transcriptome Search


Transcriptome Search:
(Transcriptome Search Help Page)
The "Transcriptome" for a given patient group is defined as the list of genes that have a P-Value of Detection better than 0.05 in a certain percentage of the samples in that particular patient group. The "Core Transcriptome" for a patient group is the list of genes that have a P-Value of detection better than 0.05 in EVERY one (i.e. 100%) of the patient group's samples.

1.) Retrieve Venn Diagram and Gene List for genes in the:
Core Transcriptome (100%)
90% Transcriptome
50% Transcriptome
20% Transcriptome


2.) Select Genes from the different Transcriptomes by Variability Criteria:

Restrict Search to the Transcriptome of the following Sample Group:


Restrict Search to Genes present in % of samples

Search Transcriptome Gene Expression by the following parameter:



Set Threshold: Threshold Value:

Restrict Returned Genes by GO Keyword :




3.) Compare the percentage of genes that represent a specified GO Category across the different Transcriptomes generated by the separate smoker classes (Never, Current and Former)

Enter GO Category ID to search, e.g. 7155 (cell adhesion):

Enter Transcriptome Type to Search:



The GOMiner Annotation tool (Zeeberg et al.) , analyzes the over/under representation of GO categories in gene lists and generates a graphical display of over- and under-represented GO categories. Download and view the following DAG (Directed Acyclic Graph) files by:

Core 100% Transcriptome - DAG file
Core 90% Transcriptome - DAG file
Core 100% Transcriptome - only Molecular Function - DAG file
Core 90% Transcriptome - only Molecular Function - DAG file
Core 90% Transcriptome GO Category Summary - only Molecular Function
Core 100% Transcriptome GO Category Summary - only Molecular Function
Core 90% Transcriptome GO Category Summary
Core 100% Transcriptome GO Category Summary

To Save Directed Acyclic Graph files follow the following instructions:

1. Right clicking on the Link
2. Selecting the 'Save Target As' option
3. Saving the file to your desktop with an .svg suffix
4. Opening the file by double-clicking the file icon. To view the DAG your browser will need the SVG Viewer plugin. To get the plugin go here.