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Tissue samples from the same tumour are heterogeneous. They consist of different subclones that can be characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Inference on tumour heterogeneity thus involves the identification of the subclonal copy number and single‐nucleotide mutations at a selected set of loci. We carry out such inference on the basis of a Bayesian...
Massively parallel sequencing (also known as next generation sequencing (NGS)) technology has emerged as a powerful tool in characterizing genomic profiles. Among many NGS applications, ribonucleic acid sequencing (‘RNA‐Seq’) has gradually become a standard tool for global transcriptomic monitoring. Although the cost of NGS experiments has dropped constantly, the high sequencing cost and bioinformatic...
Tumour cell populations can be thought of as a composition of heterogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single‐nucleotide variants. Such subpopulations are known as subclones and are an important target for precision medicine. Reconstructing subclones from next generation sequencing data is one of the major challenges in computational biology...
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