All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
Vivekananda SarangiiD, Yeongjun JangiD, Milovan ŠuvakoviD, Taejeong BaeiD, Liana FaschingiD, Shobana SekariD, Livia TomasiniiD, Jessica MarianiiD, Flora Maria VaccarinoiD, Alexej S. AbyzoviD
Abstract
Accurate discovery of somatic mutations in a cell is a challenge that partially lays in immaturity of dedicated analytical approaches. Approaches comparing cells 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, All2, 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 pair-wise comparisons, every variant call (point mutation, indel, and structural variant) is classified as either a germline variant, mosaic mutation, or false positive. As All2 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. All2 is freely available at https://github.com/abyzovlab/All2.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 5
- FWCI
- 0.42
- Field percentile
- 47th percentile
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Comprehensive benchmarking of somatic mutation detection by the SMaHT Network
The Somatic Mosaicism across Human Tissues Network (SMaHT), Alexej S. Abyzov·bioRxiv·Oct 9, 2025
- Accurate de novo detection of somatic mutations in high-throughput single-cell profiling data sets
Francesc Muyas, Ruoyan Li, … Isidro Cortés‐Ciriano·bioRxiv·Nov 22, 2022
- Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing
Joanna Hård, Ezeddin Al Håkim, … Jonas Frisén·Genome biologyPeer-reviewed·Apr 1, 2019
- A robust benchmark for detecting low-frequency variants in the HG002 Genome In A Bottle NIST reference material.
Camille A. Daniels, Adetola Abdulkadir, … Nathan D. Olson·bioRxiv·Dec 2, 2024
- Establishment of reference standards for multifaceted mosaic variant analysis
Yoo-Jin Jiny Ha, Myung Joon Oh, … Sangwoo Kim·Scientific DataPeer-reviewed·Feb 3, 2022
- Detecting Somatic Mutations in Rare Clones using Single Cell Multi-Omics
Rhys Gillman, Sonam Dukda, … Matthew A. Field·bioRxiv·Oct 30, 2025