Distilling biologically meaningful information from cancer genome sequencing data requires
comprehensive identification of somatic alterations using rigorous computational methods …

High-throughput DNA sequencing has revolutionized the study of cancer genomics with
numerous discoveries that are relevant to cancer diagnosis and treatment. The latest …

High-throughput DNA sequencing is revolutionizing the study of cancer and enabling the
measurement of the somatic mutations that drive cancer development. However, the …

The application of next-generation sequencing technology has produced a transformation in
cancer genomics, generating large data sets that can be analyzed in different ways to …

Recent advances in technological tools for massively parallel, high-throughput sequencing
of DNA have enabled the comprehensive characterization of somatic mutations in a large …

Cancers are caused by the accumulation of genomic alterations. Therefore, analyses of
cancer genome sequences and structures provide insights for understanding cancer …

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

Cancer is often driven by the accumulation of genetic alterations, including single nucleotide
variants, small insertions or deletions, gene fusions, copy-number variations, and large …

Intra-tumor heterogeneity poses substantial challenges for cancer treatment. A tumor's
composition can be deduced by reconstructing its mutational history. Central to current …

Large-scale multiplexed identification of somatic alterations in cancer has become feasible
with next generation sequencing (NGS). However, calibration of NGS somatic analysis tools …