Comprehensive single-cell genome analysis at nucleotide resolution using the PTA Analysis Toolbox

Published: 30 May 2023| Version 1 | DOI: 10.17632/c3r9chw9rb.1
Contributor:
Bioinformatics van Boxtel

Description

We developed a comprehensive bioinformatic workflow, called the PTA Analysis Toolbox (PTATO), to accurately detect single base substitutions, insertions-deletions (indels) and structural variants in PTA-based WGS data. PTATO includes a machine learning approach and filtering based on recurrency to distinguish PTA-artefacts from true mutations with high sensitivity (up to 90%), outperforming existing bioinformatic approaches. Our results show that PTATO enables studying somatic mutagenesis in the genomes of single cells with unprecedented sensitivity and accuracy.

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Institutions

Prinses Maxima Centrum voor Kinderoncologie

Categories

Genomics, Cancer, DNA, Mutation, Fanconi Anemia, DNA Mutation, Pediatric Acute Myeloid Leukemia, Genome Sequencing

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