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All: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons

bioRxiv, ISSN: 2692-8205
2021
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Article Description

Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing cell's genome to a control bulk sample miss common mutations, while approaches to find such mutations from bulk suffer from low sensitivity. We developed a tool, All, which enables accurate filtering of mutations in a cell from exhaustive comparison of cells' genomes to each other without data for bulk(s). Based on all pairwise comparisons, every variant call (point mutation, indel, and structural variant) is classified as either a germline variant, mosaic mutation, or false positive. As All allows for considering dropped-out regions, it is applicable to whole genome and exome analysis of cloned and amplified cells. By applying the approach to a variety of available data, we showed that its application reduces false positives, enables sensitive discovery of high frequency mutations, and is indispensable for conducting high resolution cell lineage tracing. All is freely available at https://github.com/abyzovlab/All2.

Bibliographic Details

Vivekananda Sarangi; Yeongjun Jang; Milovan Suvakov; Taejeong Bae; Shobana Sekar; Alexej Abyzov; Liana Fasching; Livia Tomasini; Jessica Mariani; Flora M. Vaccarino

Cold Spring Harbor Laboratory

Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; Immunology and Microbiology; Neuroscience; Pharmacology, Toxicology and Pharmaceutics

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