Computational methods and translational applications for targeted next-generation sequencing platforms.

ABSTRACT: During the past decade, next-generation sequencing (NGS) technologies have become widely adopted in cancer research and clinical care. Common applications within the clinical setting include patient stratification into relevant molecular subtypes, identification of biomarkers of response and resistance to targeted and systemic therapies, assessment of heritable cancer risk based on known pathogenic variants, and longitudinal monitoring of treatment response. The need for efficient downstream processing and reliable interpretation of sequencing data has led to the development of novel algorithms and computational pipelines, as well as structured knowledge bases that link genomic alterations to currently available drugs and ongoing clinical trials. Cancer centers around the world use differe

SUBMITTER: Luthra A 

PROVIDER: S-EPMC10129038 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature