MuCor: mutation aggregation and correlation

Bioinformatics
Karl W KrollJames S Blachly

Abstract

There are many tools for variant calling and effect prediction, but little to tie together large sample groups. Aggregating, sorting and summarizing variants and effects across a cohort is often done with ad hoc scripts that must be re-written for every new project. In response, we have written MuCor, a tool to gather variants from a variety of input formats (including multiple files per sample), perform database lookups and frequency calculations, and write many types of reports. In addition to use in large studies with numerous samples, MuCor can also be employed to directly compare variant calls from the same sample across two or more platforms, parameters or pipelines. A companion utility, DepthGauge, measures coverage at regions of interest to increase confidence in calls. Source code is freely available at https://github.com/blachlylab/mucor and a Docker image is available at https://hub.docker.com/r/blachlylab/mucor/ james.blachly@osumc.eduSupplementary data: Supplementary data are available at Bioinformatics online.

References

Sep 28, 2014·Bioinformatics·Simon AndersWolfgang Huber

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Citations

Jan 17, 2020·Blood Advances·Dimitrios PapaioannouRamiro Garzon
Jun 7, 2018·Leukemia·Ann-Kathrin EisfeldClara D Bloomfield
May 24, 2017·Proceedings of the National Academy of Sciences of the United States of America·Dimitrios PapaioannouAdrienne M Dorrance
Aug 4, 2019·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Christopher J WalkerClara D Bloomfield
Jun 25, 2021·Journal of Hematology & Oncology·Alice S MimsJohn C Byrd

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