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Updated: Dec 27, 2025

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
Published on: August 24, 2017
MUM&Co: accurate detection of all SV types through whole-genome alignment
Samuel O'Donnell1, Gilles Fischer1
1Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris F-75005, France.
Summary:
MUM&Co is a single bash script to detect structural variations (SVs) utilizing whole-genome alignment (WGA). Using MUMmer's nucmer alignment, MUM&Co can detect insertions, deletions, tandem duplications, inversions and translocations greater than 50 bp. Its versatility depends upon the WGA and therefore benefits from contiguous de-novo assemblies generated by third generation sequencing technologies. Benchmarked against five WGA SV-calling tools, MUM&Co outperforms all tools on simulated SVs in yeast, plant and human genomes and performs similarly in two real human datasets. Additionally, MUM&Co is particularly unique in its ability to find inversions in both simulated and real datasets. Lastly, MUM&Co's primary output is an intuitive tabulated file containing a list of SVs with only necessary genomic details.
Availability And Implementation:
https://github.com/SAMtoBAM/MUMandCo.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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