Unlock the Full Potential of Your Omics Data

Acquiring and analysing multiple omics datasets is now common practice, even in labs without a strong bioinformatics background.
However, integrating and managing large, multidimensional datasets remains a challenge, often leading to underutilised data and missed discoveries.


Why Use Our Interface?

🔹 Seamless Data Integration – Combine datasets from multiple omics layers to uncover hidden biological insights.
🔹 Custom Gene Sets – Define key genes from clinical or functional data and apply them across experiments.
🔹 Comparative Analysis – Identify trends and reproducibility by comparing numerical scores across datasets.
🔹 Clinical Relevance Exploration – Evaluate genes in patient cohorts to assess therapeutic significance.
🔹 Interactive Visualisations & Quick Analysis – Adjust thresholds, filter data, and perform GO analysis or GSEA—no coding required.
🔹 Our platform also functions as a centralised database, ensuring stress-free access to your datasets at any time.


Installing OmicsDBridge to your local PC

The source code and installation guide is available at this github page.
Please note that the data you upload to this website will be deleted once you leave the session. Please install and set up OmicsBridge to your local PC to use the full power of our interface.



Make your data work for you. Start uncovering meaningful biological connections today.

Database and Data Upload

List of the datasets


                        

Data upload

1. Upload a file

Please upload the corresponding .bai file as well.

2. Fill in the dataset information

In case of uoloading a count data, please make sure that the columns are set to "SampleName_Rep#". See wiki for more information

3. Click the button below


                        

Preview:


                        

Data Overview

Dataset Selection

Dataset detail:
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Overview and Analysis


                      

Data table

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Inputs


                                          

Choose gene(s) from the table blow:

Expression scores

Swarm Plot


                                          
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List of the available group names

                                                

                                                
List of sample names ▼ (click here)

                                                    

Inputs and Settings

Choose a row from below:


                                            

Plot


                                          

                                          

                                          

                                          
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List of the sample names

                                              

Inputs and Settings


                                          

Choose the samples to use below:

Plot


                                          

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Expression scores


                                          

List of the genes in each cluster.


                                                    

Plot


                                          
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Settings

Please specify the sample names and their group names that you want to use as the following example.
Ex.)
Sample1_rep1,Group1
Sample1_rep2,Group1
Sample2_rep1,Group2
...
List of sample names ▼ (click here)

                                                    

Data table

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Main plot


                                                

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Display Options

Choose X and Y axis:

Highlight the genes of interest


                                          


                                                

Highlight filterd genes or gene sets in the plot

Further filtering:
Further filtering:

Information of genes of interest

Outliers Information

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List of the genes


                                                  

Pathway Genes Information

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List of the genes


                                                  

Custom Gene Sets Information

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List of the genes


                                                  

Selected Area Information


                                          

List of the genes


                                                

Downstream analysis

Settings

This takes 1~3 minutes depending on the size of the input. Please be patient.

Results & Plots


                                                      


                                                                
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Settings


                                                          

GSEA results table

Plots


                                                      

                                                      
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Available only for RNAseq DEG data processed from DESeq2

Settings

Plots & Resutls

Note: This is only applicable to the RANseq DEG data processed by DESeq2. Please see the wiki for more details.

                                                          


                                                                
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Custom Genesets Information

Custom Gene Sets


                        

Add a Gene Set


                        

Compare across datasets

Dataset selection

Setect the datasets to compare below:


                        

Anlaysis

Settings and Inputs

Please select the score for ranking (ex. LFC), choose the direction (either top or bottom), set the threshold, and click 'Investigate the Overlap'.
A table displaying how often each gene ranks in the top or bottom X% of the selected datasets will appear below.

Overlapped hits


                                        
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List of the genes


                                                  

barplot


                                        
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Settings and Inputs

Please enter genes here and choose which score you use for the y-axis and the colour of the plot.
A bar or scatter plot comparing the score (selected as Y-axis) of each gene across the selected datasets will be generated in the end.

Input genes

Select a gene below:
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Data information

Plot


                                        

                                        

                                        
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Integrate two datasets

Side by Side comparison

Direction

Data1

Please select x/y axis:


                              
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Data2

Please select x/y axis:


                              
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Overlap genes

A list of genes that meet the filter settings in both datasets is displayed here.
Please set the threshoolds for the data to which the selected genes are mapped.

Overlap genes table


                              

List of the genes


                                    

Integration Plot

Plot


                                  
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Display options

Filtering

Filtered area


                                  

List of the genes


                                        

Selected area

List of the genes


                                        

Clinical data

Data selection

Dataset detail:
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Overview and Analysis


                                          

                                          

                                          

                                          

Inputs and Settings


                                        

Results (Hazard Ratios)

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Plots


                                              
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Inputs and Settings


                                        

Correlation table

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Scatter plot


                                        
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Inputs and Settings


                                                  


                                        

Results (Mutation Frequency table)


                                        
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Plots


                                              
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Input and Setting

Input genes table


                                                        
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Plot for Gene expression comaprison


                                                      
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Input and Settings


                                            
Note: When there are too many subtypes, it takes longer time to visualise and the figure will be messy.


                                        

Test Results

Plot


                                        

                                        
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Inputs and Settings

Note: This takes 1~2 minutes depending on the size of the inputted genes. Please be patient.


                                        

Results (Signature scores)

Plots


                                              
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Note: When there are too many subtypes, it takes longer time to visualise and the figure will be messy.

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Deconvolution

Deconvolution Result table:


                                        
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Futher analysis

Inputs and Settings


                                                      

Plot


                                                          
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Input and Setting


                                                    

Correlation table

Plot


                                                    
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Inputs and Settings


                                        

Select one gene below


                                            

Select cohorts below

Results and Plots

This takes time depending on how many cohorts you use and the size of each cohort. Note: When using all the TCGA, it takes ~30 sec. Please be patient.

Plot


                                              
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Table


                                              

This takes time depending on how many cohorts you use and the size of each cohort. Note: When using all the TCGA, it takes ~2 min. Please be patient.

Plot


                                              
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Cacner Gene Census (COSMIC)

We are using the Cancer Gene Census from COSMIC.
Please enter gene names below or select a gene set.
If the genes are associated with cancer predisposition, they will appear in the table. Otherwise, the entire database will be displayed.

Inputs and Settings

Result Table

Registered cohort


                                    

Upload


                                    

scRNA

Dataset selection

Dataset detail:
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Data Overview & Analysis

Plot


                                        
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Setting


                                        

Inputs and Settings


                                              

Select a gene below:

Plot


                                              
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Inputs and Settings

This takes 1~3 minutes depending on the size of the input genes and the size of the scRNA dataset. Please be patient.

Plots


                                                    
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Select the groups to use in the violin plot below:

Inputs and Settings

Plot


                                              
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Inputs and Settings


                                              

                                              

Select a gene below:

Plot


                                              
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Select the groups to use in the violin plot below:

Inputs and Settings


                                              

                                              

Select a gene below:

Plot


                                              
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Epigenome Visualisation

IGV

Inputs and Settings


                                        

List of imported dataset:
The following samples are used for the profile plot.
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Enter the coordinates below:
Please write the genome locus in the format of 'chr:start-end' line by line.
For example, 'chr1:1000000-2000000'.

Profile Plot


                                        
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Inputs and Settings


                                        

Selected datasets:
The following datasets are used for the genome visualisation.

                                        

Plot


                                        
Note:
1. When using BAM files, a wide range (e.g., >100k–200k bp) can cause a memory error and stop the interface (This issue does not occur when using only BigWig files.)
2. If the sample label is missing, try increasing the height of the figure and re-plotting.
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Visualised by the Gviz library. Version: 1.50.0

Inputs and Settings

Selected dataset detail:

                                            

Plot

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Inputs and Settings

This tool calculates the correlation between RNA-seq gene expression and ATAC-seq peak intensity for a specified gene across matched samples.

The column names of the RNAseq data:

                                            

The column names of the ATACseq data:

                                            

Below, enter matching sample names from the RNA-seq and ATAC-seq tables.
One pair per line, separated by a comma. At least 3 pairs are required.

Example:
Sample1_RNA_Rep1,Sample1_ATAC_Rep1

Note: If this is NOT checked, it takes very long time to calculate the correlation.

Results


                                                  
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Show the potential enhancer/promoter list


                                                

Inputs and Settings

This tool scans for motifs in the input peaks or sequences with the MotifDb database (PWMLogn.hg19.MotifDb.Hsap), identifying potential transcription factor binding sites within the specified genomic region.

Motifs

Plot (logo)


                                            
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Tools

Convert Huamns genes with Mouse genes

Inputs and Settings


                                        

Conversion Table


                                        
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List of converted genes


                                        

Convert Ensemble gene ids with Gene symbols

Inputs and Settings


                                        

Conversion Table


                                        
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List of converted genes


                                        

Find the genomic loci

Inputs and Settings


                                        

Search results


                                        
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List of genes/coordinates


                                        

Cross-tabulation analysis

Table contents

Group Names

Values


2x2 Table


                                            

Statistic test


                                            

Plot


                                        
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Venn Diagram

Information of each group

Show the overlapping elements


                                          

                                          

Plot


                                        
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Network plot

Input

The input data table

Plot


                                        

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The wiki for OmicsBridge is available at this link .

Session Info


                      

Last updated on 23. July, 2025