Optimizing sparse sequencing of single cells for highly multiplex copy number profiling - Wikidata - awgldk - TriplyDB

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

http://www.wikidata.org/entity/Q35561968

about

nbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis.Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq.Scalable whole-genome single-cell library preparation without preamplification.Building a lineage from single cells: genetic techniques for cell lineage tracking.Sequencing thousands of single-cell genomes with combinatorial indexing.Interactive analysis and assessment of single-cell copy-number variations Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates Vasculogenic mimicry in small cell lung cancer.A Total-variation Constrained Permutation Model for Revealing Common Copy Number Patterns.Early Detection of Cancer in Blood Using Single-Cell Analysis: A Proposal.Non-invasive detection of genome-wide somatic copy number alterations by liquid biopsies Transplantation of engineered organoids enables rapid generation of metastatic mouse models of colorectal cancer.Advances in understanding tumour evolution through single-cell sequencing.Single-cell DNA sequencing reveals a late-dissemination model in metastatic colorectal cancer.Prenatal and pre-implantation genetic diagnosis.Clonal genotype and population structure inference from single-cell tumor sequencing.Biophysical technologies for understanding circulating tumor cell biology and metastasis.Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models The first five years of single-cell cancer genomics and beyond.ZSCAN10 expression corrects the genomic instability of iPSCs from aged donors.The 8th international symposium on the breast: Using next-generation science to understand the normal breast and the development of breast cancer- conference report.Unravelling biology and shifting paradigms in cancer with single-cell sequencing.Application of single-cell sequencing in human cancer.An approach to suppress the evolution of resistance in BRAFV600E-mutant cancer.Single-cell replication profiling to measure stochastic variation in mammalian replication timing.Single-cell sequencing deciphers a convergent evolution of copy number alterations from primary to circulating tumor cells.A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products.Flow Cytometric Methods for Circulating Tumor Cell Isolation and Molecular Analysis.

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P2860

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

http://www.wikidata.org/entity/Q35561968

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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2015年论文

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name

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

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Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

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type

label

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

@ast

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

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prefLabel

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

@ast

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

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Genome Research

P1476

Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

@en

P2093

Alexander Krasnitz

http://www.w3.org/2001/XMLSchema#string

Anthony Leotta

http://www.w3.org/2001/XMLSchema#string

Brian Ward

http://www.w3.org/2001/XMLSchema#string

Guoli Sun

http://www.w3.org/2001/XMLSchema#string

Hannah Gilmore

http://www.w3.org/2001/XMLSchema#string

Hilary Cox

http://www.w3.org/2001/XMLSchema#string

James Hicks

http://www.w3.org/2001/XMLSchema#string

Jude Kendall

http://www.w3.org/2001/XMLSchema#string

Kristy Miskimen

http://www.w3.org/2001/XMLSchema#string

Linda Rodgers

http://www.w3.org/2001/XMLSchema#string

P2860

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Cancer genome landscapes

Evolution of the cancer genome

Cyclin D1 in breast cancer pathogenesis.

The Sequence Alignment/Map format and SAMtools

The clonal evolution of tumor cell populations

Tumour evolution inferred by single-cell sequencing

The landscape of somatic copy-number alteration across human cancers.

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

The causes and consequences of genetic heterogeneity in cancer evolution

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714-724

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scholarly article

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10.1101/GR.188060.114

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5

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25

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274723010

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25858951

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4417119

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