标题
Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
作者
关键词
-
出版物
Nature Communications
Volume 12, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-11-04
DOI
10.1038/s41467-021-26698-7
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
- (2021) Stefan C. Dentro et al. CELL
- Pan-cancer analysis of whole genomes
- (2020) NATURE
- A community effort to create standards for evaluating tumor subclonal reconstruction
- (2020) Adriana Salcedo et al. NATURE BIOTECHNOLOGY
- SomaticCombiner: improving the performance of somatic variant calling based on evaluation tests and a consensus approach
- (2020) Mingyi Wang et al. Scientific Reports
- Subclonal reconstruction of tumors by using machine learning and population genetics
- (2020) Giulio Caravagna et al. NATURE GENETICS
- PyClone-VI: scalable inference of clonal population structures using whole genome data
- (2020) Sierra Gillis et al. BMC BIOINFORMATICS
- Simulation of Heterogeneous Tumour Genomes with HeteroGenesis and In Silico Whole Exome Sequencing
- (2019) Georgette Tanner et al. BIOINFORMATICS
- pblat: a multithread blat algorithm speeding up aligning sequences to genomes
- (2019) Meng Wang et al. BMC BIOINFORMATICS
- NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
- (2019) Irantzu Anzar et al. BMC Medical Genomics
- Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data
- (2019) Judith Abécassis et al. PLoS One
- OUP accepted manuscript
- (2018) BIOINFORMATICS
- Strelka2: fast and accurate calling of germline and somatic variants
- (2018) Sangtae Kim et al. NATURE METHODS
- Copy-number analysis and inference of subclonal populations in cancer genomes using Sclust
- (2018) Yupeng Cun et al. Nature Protocols
- Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity
- (2018) Weiwei Shi et al. Cell Reports
- Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples
- (2017) Luciano G Martelotto et al. NATURE MEDICINE
- Identification of neutral tumor evolution across cancer types
- (2016) Marc J Williams et al. NATURE GENETICS
- Single-cell genome sequencing: current state of the science
- (2016) Charles Gawad et al. NATURE REVIEWS GENETICS
- FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing
- (2016) Ronglai Shen et al. NUCLEIC ACIDS RESEARCH
- CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
- (2016) Eric Talevich et al. PLoS Computational Biology
- Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
- (2015) Adam D Ewing et al. NATURE METHODS
- Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data
- (2014) F. Favero et al. ANNALS OF ONCOLOGY
- TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data
- (2014) Gavin Ha et al. GENOME RESEARCH
- PyClone: statistical inference of clonal population structure in cancer
- (2014) Andrew Roth et al. NATURE METHODS
- Wessim: a whole-exome sequencing simulator based on in silico exome capture
- (2013) Sangwoo Kim et al. BIOINFORMATICS
- Accurately Identifying Low-Allelic Fraction Variants in Single Samples with Next-Generation Sequencing: Applications in Tumor Subclone Resolution
- (2013) Lucy F. Stead et al. HUMAN MUTATION
- VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing
- (2012) D. C. Koboldt et al. GENOME RESEARCH
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