CNV calling pipeline for low coverage single-cell whole genome sequencing data

By Zeliha Gözde Turan, PhD, Jonas Demeulemeester, PhD, Fritz Sedlazeck, PhD and Christos Proukakis, PhD
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Output Details

Description
Pipeline for analyzing, filtering, and comparing copy number variations from single-cell whole genome sequencing data that were amplified using PicoPLEX, PTA, or droplet MDA.
Identifier (DOI)
10.5281/zenodo.8225214
Team
Team Voet
Program
Collaborative Research Network
Theme
PD Functional Genomics

Meet the Authors

  • Zeliha Gözde Turan, PhD

    Key Personnel: Team Voet, 

    University College London

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    Jonas Demeulemeester, PhD

    Key Personnel: Team Voet, 

    KU Leuven

  • Fritz Sedlazeck, PhD

    Key Personnel: Team Voet, 

    Baylor College of Medicine

  • Christos Proukakis, PhD

    Co-PI (Core Leadership): Team Voet, 

    University College London

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Somatic mutations in the brain are well-known, requiring single-cell whole genome amplification before sequencing. PicoPLEX, MDA, and PTA whole genome amplification methods were compared on brain nuclei, showing different properties.

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Image Processing and 3D Reconstruction – Chen et al. 2025 NSMB

Image processing and 3D reconstruction applied in Chen et al. 2025 NSMB

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Plasmid construction – Chen et al. 2025 NSMB

Standard cloning procedure.

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