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Lab home CTCeek software page

Welcome to CTCeek

Project Overview

This tool is part of the CTCeek project for identifying circulating tumor cells.

CTCeek operates by leveraging the Seurat R package in several key steps:

  • Data Upload: Upload your scRNA-seq expression matrix (e.g., RDS object, count matrix) into the app.
  • Model Loading: Wait for the pre-computed reference model to load into the application. This may take a minute.
  • Cell Classification: CTCeek applies the model using FindTransferAnchors and MapQuery to identify CTCs.
  • Visualization & Export: Explore results through interactive tables and download findings for further research.

Software Description

CTCeek is a powerful R Shiny application designed to streamline the identification of Circulating Tumor Cell (CTCs) from single-cell RNA sequencing (scRNA-seq) data. It achieves this by employing a sophisticated, anchor-based framework to measure similarity between query cells and reference cell clusters. Leveraging robust methodologies from the Seurat R package, CTCeek facilitates the accurate classification of individual cells, identifying bona fide CTCs.

Test files and documentation are available on Zenodo: https://doi.org/10.5281/zenodo.17780234

Further information and original scripts can be found at https://github.com/PietroAnc/CTCeek


1. Upload Your Seurat Object (putative CTC profiles to test)

2. Start Analysis


3. View Analysis & Download Results

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4. Visualize Data on Reference UMAP

Click to project your data onto the reference UMAP.
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Finding anchors and projecting data onto reference UMAP, please wait...

5. Find Marker Genes per Cell Type (one-vs-all)

Select the cell types to compare against all other cells (one-vs-all).

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Calculating per-group marker genes, please wait...