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ABSTRACT: Background
The revolution in next-generation sequencing (NGS) technology has allowed easy access and sharing of high-throughput sequencing datasets of cancer cell lines and their integrative analyses. However, long-term passaging and culture conditions introduce high levels of genomic and phenotypic diversity in established cell lines resulting in strain differences. Thus, clonal variation in cultured cell lines with respect to the reference standard is a major barrier in systems biology data analyses. Therefore, there is a pressing need for a fast and entry-level assessment of clonal variations within cell lines using their high-throughput sequencing data.Results
We developed a Python-based software, AStra, for de novo estimation of the genome-wide segmental aneuplo
SUBMITTER: Khalil AIS
PROVIDER: S-EPMC8521761 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature