📔
DISCO Vignette
  • The motivation behind DISCO
  • Overview
  • DATABASE CONTENT
    • Repository
    • Atlas
    • Cell Type
  • Tool
    • CELLiD
    • CellMapper
    • scEnrichment
    • Online Integration
    • customDEG
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On this page
  • Input
  • 1. Sample Selection
  • 2. Metadata Editing
  • 3. Integration Parameter Setup
  • Result
  • 1. UMAP
  • 2. DEGs of Each Cluster
  • 3. Feature Plot
  • 4. Cell Type Percentage
  1. Tool

Online Integration

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Last updated 6 months ago

Online Integration allows users to easily integrate data of interest in DISCO, as well as integrate DISCO data with in-house data. No coding skills are required, and users can complete the entire process with just a few clicks!

Input

1. Sample Selection

Users can select DISCO data by entering the sample ID in the input box shown below. They can also drop their in-house data into the file box. Basic information about the sample, such as the number of cells and upload status, will be displayed immediately after selection or upload.

CAUTION

  • The maximum number of cells allowed is 20,000 for the sum of all samples

  • For in-house data, only .rds files with dgCMatrix format are currently supported

2. Metadata Editing

In this step, users can edit the existing metadata and add new metadata fields. This information may affect downstream analysis and visualization.

3. Integration Parameter Setup

Users can set up integration-related parameters, such as the integration method and the number of feature genes for integration. They can also set a password to encrypt data for secure sharing.

Result

1. UMAP

On the results page, the left panel displays the UMAP of the integrated data, colored by cell type information. Users can highlight specific cell types by clicking on them in the legend.

2. DEGs of Each Cluster

The DEGs for each cluster were identified using the FindAllMarkers function from the Seurat package and are displayed in the panel labeled 'Marker'.

INFO

The DEGs were identified for each cluster rather than for each cell type. Some clusters may be predicted as the same cell type but have different DEGs.

3. Feature Plot

Users can select a gene of interest and display its expression level on the UMAP.

4. Cell Type Percentage

Display cell type composition based on metadata fields, such as sample ID and disease group.