Motivation: Somatic mutations can have critical prognostic and therapeutic implications for
cancer patients. Although targeted methods are often used to assay specific cancer driver …

Background Accurate identification of real somatic variants is a primary part of cancer
genome studies and precision oncology. However, artifacts introduced in various steps of …

Motivation The analysis of cancer genomes provides fundamental information about its
etiology, the processes driving cell transformation or potential treatments. While researchers …

Following variant calling and annotation, accurate variant filtering is a crucial step to extract
meaningful information from sequencing data and to investigate disease aetiology …

Cancer sequencing studies are increasingly comprehensive and well powered, returning
long lists of somatic mutations that can be difficult to sort and interpret. Diligent analysis and …

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 …

Background Next-generation sequencing (NGS) allows unbiased, in-depth interrogation of
cancer genomes. Many somatic variant callers have been developed yet accurate …

For cancer genomics to fully expand its utility from research discovery to clinical adoption,
somatic variant detection pipelines must be optimized and standardized to ensure …

Recent advances in genome sequencing technologies provide unprecedented opportunities
to characterize individual genomic landscapes and identify mutations relevant for diagnosis …

Background Driven by high throughput next generation sequencing technologies and the
pressing need to decipher cancer genomes, computational approaches for detecting …