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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty469
Abstract: Motivation Analyses of data generated from bulk sequencing of tumors have revealed extensive genomic heterogeneity within patients. Many computational methods have been developed to enable the inference of genotypes of tumor cell populations (clones) from…
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Keywords:
tumor samples;
clone genotypes;
genotypes tumor;
bulk sequencing ... See more keywords
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Published in 2019 at "Genome Research"
DOI: 10.1101/gr.234435.118
Abstract: Available computational methods for tumor phylogeny inference via single-cell sequencing (SCS) data typically aim to identify the most likely perfect phylogeny tree satisfying the infinite sites assumption (ISA). However, the limitations of SCS technologies including…
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Keywords:
tumor phylogeny;
sequencing data;
bulk sequencing;
phylogeny ... See more keywords
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Published in 2018 at "Blood"
DOI: 10.1182/blood-2018-99-120368
Abstract: Background: Myelodysplastic syndromes (MDS) are a collection of clonal diseases of dysfunctional hematopoietic stem cells, characterized by ineffective hematopoiesis, cytopenias, and dysplasia. Increased understanding of the mutational landscape of MDS has led to initial improvements…
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Keywords:
single cell;
evolution;
bulk sequencing;
mds ... See more keywords