A combinatorial approach for analyzing intra-tumor heterogeneity from high-throughput sequencing data.
about
SubcloneSeeker: a computational framework for reconstructing tumor clone structure for cancer variant interpretation and prioritization.Deciphering clonality in aneuploid breast tumors using SNP array and sequencing data.Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data.Reconstruction of clonal trees and tumor composition from multi-sample sequencing data.A general framework for analyzing tumor subclonality using SNP array and DNA sequencing data.MixClone: a mixture model for inferring tumor subclonal populations.Computational methods and resources for the interpretation of genomic variants in cancerIdentification of Distinct Tumor Subpopulations in Lung Adenocarcinoma via Single-Cell RNA-seq.Enhancing cancer clonality analysis with integrative genomics.SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing.Fast and scalable inference of multi-sample cancer lineagesAt least two well-spaced samples are needed to genotype a solid tumor.Tree inference for single-cell data.FISHtrees 3.0: Tumor Phylogenetics Using a Ploidy ProbephyC: Clustering cancer evolutionary trees.Past and future impact of next-generation sequencing in head and neck cancer.Computational Methods for Characterizing Cancer Mutational Heterogeneity.Advances in understanding tumour evolution through single-cell sequencing.Tumor evolution: Linear, branching, neutral or punctuated?The evolution of tumour phylogenetics: principles and practice.PhyloWGS: reconstructing subclonal composition and evolution from whole-genome sequencing of tumors.Clonality inference in multiple tumor samples using phylogeny.Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies.Characterizing the heterogeneity of tumor tissues from spatially resolved molecular measures.An Improved Binary Differential Evolution Algorithm to Infer Tumor Phylogenetic Trees.Tumor phylogeny inference using tree-constrained importance sampling.Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors.Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling.
P2860
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P2860
A combinatorial approach for analyzing intra-tumor heterogeneity from high-throughput sequencing data.
description
2014 nî lūn-bûn
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2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
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2014年の論文
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年學術文章
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name
A combinatorial approach for a ...... gh-throughput sequencing data.
@ast
A combinatorial approach for a ...... gh-throughput sequencing data.
@en
type
label
A combinatorial approach for a ...... gh-throughput sequencing data.
@ast
A combinatorial approach for a ...... gh-throughput sequencing data.
@en
prefLabel
A combinatorial approach for a ...... gh-throughput sequencing data.
@ast
A combinatorial approach for a ...... gh-throughput sequencing data.
@en
P2093
P2860
P356
P1433
P1476
A combinatorial approach for a ...... gh-throughput sequencing data.
@en
P2093
Ahmad Mahmoody
Benjamin J Raphael
Iman Hajirasouliha
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU284
P407
P577
2014-06-01T00:00:00Z