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CeLaVi: an interactive cell lineage visualization tool.

Irepan Salvador-Martínez1, Marco Grillo2,3, Michalis Averof2,3

  • 1Centre for Life's Origins and Evolution, Department of Genetics Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK.

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Summary
This summary is machine-generated.

CeLaVi is a new web-based tool that visualizes cell lineages and their spatial distribution. It helps researchers explore complex cell division data, integrating lineage with cell identity and properties for better understanding.

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Area of Science:

  • Developmental Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Reconstructing cell lineages is crucial for understanding development and disease.
  • Integrating lineage data with spatial and identity information presents a significant challenge.
  • Existing tools lack intuitive visualization for complex cell lineage data.

Purpose of the Study:

  • To introduce CeLaVi, a novel web-based visualization tool.
  • To enable intuitive exploration and interpretation of integrated cell lineage data.
  • To facilitate the analysis of cell divisions, spatial distribution, and cell properties.

Main Methods:

  • Development of a web-based platform for interactive visualization.
  • Implementation of features for navigating cell lineage trees.
  • Integration of 3D spatial viewers with lineage data and cell properties (e.g., gene expression).

Main Results:

  • CeLaVi allows users to explore cell lineage trees and visualize spatial clone distributions.
  • The tool enables coloring cells by lineage relationships and visualizing cell properties in 3D.
  • Demonstrated utility with four diverse example datasets, showcasing CeLaVi's capabilities.

Conclusions:

  • CeLaVi provides an effective solution for visualizing and interacting with complex cell lineage data.
  • The tool facilitates the integration of lineage, spatial, and cell identity information.
  • CeLaVi is a valuable resource for researchers in developmental biology and related fields.