Accurity: accurate tumor purity and ploidy inference from tumor-normal WGS data by jointly modelling somatic copy number alterations and heterozygous germline single-nucleotide-variants.
Accurity: accurate tumor purity and ploidy inference from tumor-normal WGS data by jointly modelling somatic copy number alterations and heterozygous germline single-nucleotide-variants.
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DOI:
10.1093/bioinformatics/bty043
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发表时间:
2018-06-15
期刊:
影响因子:
--
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文献类型:
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Tumor purity and ploidy have a substantial impact on next-gen sequence analyses of tumor samples and may alter the biological and clinical interpretation of results. Despite the existence of several computational methods that are dedicated to estimate tumor purity and/or ploidy from The Cancer Genome Atlas (TCGA) tumor-normal whole-genome-sequencing (WGS) data, an accurate, fast and fully-automated method that works in a wide range of sequencing coverage, level of tumor purity and level of intra-tumor heterogeneity, is still missing. We describe a computational method called Accurity that infers tumor purity, tumor cell ploidy and absolute allelic copy numbers for somatic copy number alterations (SCNAs) from tumor-normal WGS data by jointly modelling SCNAs and heterozygous germline single-nucleotide-variants (HGSNVs). Results from both in silico and real sequencing data demonstrated that Accurity is highly accurate and robust, even in low-purity, high-ploidy and low-coverage settings in which several existing methods perform poorly. Accounting for tumor purity and ploidy, Accurity significantly increased signal/noise gaps between different copy numbers. We are hopeful that Accurity is of clinical use for identifying cancer diagnostic biomarkers. Accurity is implemented in C++/Rust, available at http://www.yfish.org/software/. Supplementary data are available at Bioinformatics online.
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DOI:
10.1093/annonc/mdu479
发表时间:
2015-01
期刊:
Annals of oncology : official journal of the European Society for Medical Oncology
影响因子:
--
作者:
Favero F;Joshi T;Marquard AM;Birkbak NJ;Krzystanek M;Li Q;Szallasi Z;Eklund AC
通讯作者:
Eklund AC
影响因子:
12.3
作者:
Mayrhofer M;DiLorenzo S;Isaksson A
通讯作者:
Isaksson A
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
64.8
作者:
Navin N;Kendall J;Troge J;Andrews P;Rodgers L;McIndoo J;Cook K;Stepansky A;Levy D;Esposito D;Muthuswamy L;Krasnitz A;McCombie WR;Hicks J;Wigler M
通讯作者:
Wigler M
影响因子:
9.5
作者:
Alkodsi, Amjad;Louhimo, Riku;Hautaniemi, Sampsa
通讯作者:
Hautaniemi, Sampsa