Title | Ploidy- and Purity-Adjusted Allele-Specific DNA Analysis Using CLONETv2. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Prandi D, Demichelis F |
Journal | Curr Protoc Bioinformatics |
Volume | 67 |
Issue | 1 |
Pagination | e81 |
Date Published | 2019 Sep |
ISSN | 1934-340X |
Keywords | Algorithms, Alleles, Computational Biology, DNA Copy Number Variations, Exome, Gene Dosage, Genotype, High-Throughput Nucleotide Sequencing, Humans, Neoplasms, Ploidies, Precision Medicine |
Abstract | High-throughput DNA sequencing technology provides base-level and statistically rich information about the genomic content of a sample. In the contexts of cancer research and precision oncology, thousands of genomes from paired tumor and matched normal samples are profiled and processed to determine somatic copy-number changes and single-nucleotide variations. Higher-order informative analyses, in the form of allele-specific copy-number assessments or subclonality quantification, require reliable estimates of tumor DNA ploidy and tumor cellularity. CLONETv2 provides a complete set of functions to process matched normal and tumor pairs using patient-specific genotype data, is independent of low-level tools (e.g., aligner, segmentation algorithm, mutation caller) and offers high-level functions to compute allele-specific copy number from segmented data and to identify subclonal population in the input sample. CLONETv2 is applicable to whole-genome, whole-exome and targeted sequencing data generated either from tissue or from liquid biopsy samples. © 2019 The Authors. |
DOI | 10.1002/cpbi.81 |
Alternate Journal | Curr Protoc Bioinformatics |
PubMed ID | 31524989 |
PubMed Central ID | PMC6778654 |
Grant List | 648670 / ERC_ / European Research Council / International P50 CA211024 / CA / NCI NIH HHS / United States R01 CA125612 / CA / NCI NIH HHS / United States |