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Dataset Information

FiNGS: high quality somatic mutations using filters for next generation sequencing.


ABSTRACT:

Background

Somatic variant callers are used to find mutations in sequencing data from cancer samples. They are very sensitive and have high recall, but also may produce low precision data with a large proportion of false positives. Further ad hoc filtering is commonly performed after variant calling and before further analysis. Improving the filtering of somatic variants in a reproducible way represents an unmet need. We have developed Filters for Next Generation Sequencing (FiNGS), software written specifically to address these filtering issues.

Results

Developed and tested using publicly available sequencing data sets, we demonstrate that FiNGS reliably improves upon the precision of default variant caller outputs and performs better than other tools designed for the same

SUBMITTER: Wardell CP 

PROVIDER: S-EPMC7890800 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature