The adoption of next generation sequencing based methods in cancer research allowed for
the investigation of the complex genetic structure of tumor samples. In the last few years …

Background High-throughput sequencing has rapidly become an essential part of precision
cancer medicine. But validating results obtained from analyzing and interpreting genomic …

It is challenging to identify somatic variants from high-throughput sequence reads due to
tumor heterogeneity, sub-clonality, and sequencing artifacts. In this study, we evaluated the …

Background The phenotypes of cancer cells are driven in part by somatic structural variants.
Structural variants can initiate tumors, enhance their aggressiveness, and provide unique …

Background The accurate screening of tumor genomic landscapes for somatic mutations
using high-throughput sequencing involves a crucial step in precise clinical diagnosis and …

Somatic Mutation calling method using a Random Forest (SMuRF) integrates predictions
and auxiliary features from multiple somatic mutation callers using a supervised machine …

Background Various approaches to calling single-nucleotide variants (SNVs) or insertion-or-
deletion (indel) mutations have been developed based on next-generation sequencing …

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

Motivation Large-scale rearrangements and copy number changes combined with different
modes of clonal evolution create extensive somatic genome diversity, making it difficult to …

Background The advent and ongoing development of next generation sequencing
technologies (NGS) has led to a rapid increase in the rate of human genome re-sequencing …