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TargetClone: A multi-sample approach for reconstructing subclonal evolution of tumors
by
de Ridder, Jeroen
, Looijenga, Leendert H. J.
, Dorssers, Lambert C. J.
, Nieboer, Marleen M.
, Straver, Roy
in
Algorithms
/ Alleles
/ Analysis
/ Bioinformatics
/ Biology
/ Biology and Life Sciences
/ Cancer
/ Clonal Evolution - genetics
/ Colorectal cancer
/ Computational Biology - methods
/ Computer and Information Sciences
/ Computer applications
/ Computer simulation
/ Depth measurement
/ DNA Copy Number Variations - genetics
/ DNA methylation
/ Evolution
/ Gene frequency
/ Gene Frequency - genetics
/ Genetic polymorphisms
/ Genomes
/ Health aspects
/ Heterogeneity
/ Heterogeneous catalysis
/ High-Throughput Nucleotide Sequencing - methods
/ Humans
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Methods
/ Mutation
/ Mutation - genetics
/ Neoplasms - genetics
/ Novels
/ Oncology
/ Ovarian cancer
/ Ovarian carcinoma
/ Physical Sciences
/ Polymorphism
/ Polymorphism, Single Nucleotide - genetics
/ Research and Analysis Methods
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ Software
/ Trees
/ Tumors
2018
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TargetClone: A multi-sample approach for reconstructing subclonal evolution of tumors
by
de Ridder, Jeroen
, Looijenga, Leendert H. J.
, Dorssers, Lambert C. J.
, Nieboer, Marleen M.
, Straver, Roy
in
Algorithms
/ Alleles
/ Analysis
/ Bioinformatics
/ Biology
/ Biology and Life Sciences
/ Cancer
/ Clonal Evolution - genetics
/ Colorectal cancer
/ Computational Biology - methods
/ Computer and Information Sciences
/ Computer applications
/ Computer simulation
/ Depth measurement
/ DNA Copy Number Variations - genetics
/ DNA methylation
/ Evolution
/ Gene frequency
/ Gene Frequency - genetics
/ Genetic polymorphisms
/ Genomes
/ Health aspects
/ Heterogeneity
/ Heterogeneous catalysis
/ High-Throughput Nucleotide Sequencing - methods
/ Humans
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Methods
/ Mutation
/ Mutation - genetics
/ Neoplasms - genetics
/ Novels
/ Oncology
/ Ovarian cancer
/ Ovarian carcinoma
/ Physical Sciences
/ Polymorphism
/ Polymorphism, Single Nucleotide - genetics
/ Research and Analysis Methods
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ Software
/ Trees
/ Tumors
2018
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TargetClone: A multi-sample approach for reconstructing subclonal evolution of tumors
by
de Ridder, Jeroen
, Looijenga, Leendert H. J.
, Dorssers, Lambert C. J.
, Nieboer, Marleen M.
, Straver, Roy
in
Algorithms
/ Alleles
/ Analysis
/ Bioinformatics
/ Biology
/ Biology and Life Sciences
/ Cancer
/ Clonal Evolution - genetics
/ Colorectal cancer
/ Computational Biology - methods
/ Computer and Information Sciences
/ Computer applications
/ Computer simulation
/ Depth measurement
/ DNA Copy Number Variations - genetics
/ DNA methylation
/ Evolution
/ Gene frequency
/ Gene Frequency - genetics
/ Genetic polymorphisms
/ Genomes
/ Health aspects
/ Heterogeneity
/ Heterogeneous catalysis
/ High-Throughput Nucleotide Sequencing - methods
/ Humans
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Methods
/ Mutation
/ Mutation - genetics
/ Neoplasms - genetics
/ Novels
/ Oncology
/ Ovarian cancer
/ Ovarian carcinoma
/ Physical Sciences
/ Polymorphism
/ Polymorphism, Single Nucleotide - genetics
/ Research and Analysis Methods
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ Software
/ Trees
/ Tumors
2018
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TargetClone: A multi-sample approach for reconstructing subclonal evolution of tumors
Journal Article
TargetClone: A multi-sample approach for reconstructing subclonal evolution of tumors
2018
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Overview
Most tumors are composed of a heterogeneous population of subclones. A more detailed insight into the subclonal evolution of these tumors can be helpful to study progression and treatment response. Problematically, tumor samples are typically very heterogeneous, making deconvolving individual tumor subclones a major challenge. To overcome this limitation, reducing heterogeneity, such as by means of microdissections, coupled with targeted sequencing, is a viable approach. However, computational methods that enable reconstruction of the evolutionary relationships require unbiased read depth measurements, which are commonly challenging to obtain in this setting. We introduce TargetClone, a novel method to reconstruct the subclonal evolution tree of tumors from single-nucleotide polymorphism allele frequency and somatic single-nucleotide variant measurements. Furthermore, our method infers copy numbers, alleles and the fraction of the tumor component in each sample. TargetClone was specifically designed for targeted sequencing data obtained from microdissected samples. We demonstrate that our method obtains low error rates on simulated data. Additionally, we show that our method is able to reconstruct expected trees in a testicular germ cell cancer and ovarian cancer dataset. The TargetClone package including tree visualization is written in Python and is publicly available at https://github.com/UMCUGenetics/targetclone.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Alleles
/ Analysis
/ Biology
/ Cancer
/ Computational Biology - methods
/ Computer and Information Sciences
/ DNA Copy Number Variations - genetics
/ Genomes
/ High-Throughput Nucleotide Sequencing - methods
/ Humans
/ Medicine
/ Medicine and Health Sciences
/ Methods
/ Mutation
/ Novels
/ Oncology
/ Polymorphism, Single Nucleotide - genetics
/ Research and Analysis Methods
/ Single nucleotide polymorphisms
/ Single-nucleotide polymorphism
/ Software
/ Trees
/ Tumors
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