# A computational tool suite to facilitate single-cell lineage tracing analyses

**Authors:** Joshua J. Waterfall, Adil Midoun, Leïla Perié

PMC · DOI: 10.1016/j.crmeth.2024.100780 · 2024-05-13

## TL;DR

This paper introduces a set of computational tools to help researchers study how cell populations evolve and relate to each other.

## Contribution

The paper presents a new suite of tools specifically designed for single-cell lineage tracing analyses.

## Key findings

- The tools aim to make lineage tracing more accessible and widely applicable.
- They are intended to support diverse biological research contexts.

## Abstract

Tracking the lineage relationships of cell populations is of increasing interest in diverse biological contexts. In this issue of Cell Reports Methods, Holze et al. present a suite of computational tools to facilitate such analyses and encourage their broader application.

Tracking the lineage relationships of cell populations is of increasing interest in diverse biological contexts. In this issue of Cell Reports Methods, Holze et al. present a suite of computational tools to facilitate such analyses and encourage their broader application.

## Full-text entities

- **Genes:** DNTT (DNA nucleotidylexotransferase) [NCBI Gene 1791] {aka TDT}
- **Diseases:** cancer (MESH:D009369)
- **Chemicals:** BARtab (-)
- **Species:** Danio rerio (leopard danio, species) [taxon 7955], Homo sapiens (human, species) [taxon 9606], Caenorhabditis elegans (species) [taxon 6239], Mus musculus (house mouse, species) [taxon 10090]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC11133830/full.md

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Source: https://tomesphere.com/paper/PMC11133830