(Q34661381)

3 August 2017

title

Validation of noise models for single-cell transcriptomics (English)

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3 August 2017

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1

Dominic Grün

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Alexander van Oudenaarden

3 August 2017

series ordinal

3

object named as

Alexander van Oudenaarden

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Lennart Kester

object named as

Lennart Kester

series ordinal

2

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publication date

20 April 2014

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3 August 2017

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3 August 2017

volume

11

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3 August 2017

issue

6

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3 August 2017

page(s)

637-640

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Using gene expression noise to understand gene regulation

3 August 2017

cites work

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https://api.crossref.org/works/10.1038%2FNMETH.2930

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Single-cell sequencing-based technologies will revolutionize whole-organism science

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Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes

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Measurement of the Number of Molecules of a Single mRNA Species in a Complex mRNA Preparation

21 January 2018

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Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells

21 January 2018

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Quantitative single-cell RNA-seq with unique molecular identifiers

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Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types

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Accounting for technical noise in single-cell RNA-seq experiments.

21 January 2018

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Stochastic mRNA synthesis in mammalian cells

21 January 2018

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Imaging individual mRNA molecules using multiple singly labeled probes

21 January 2018

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Fast and accurate long-read alignment with Burrows-Wheeler transform

21 January 2018

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The UCSC Genome Browser database: extensions and updates 2013.

21 January 2018

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Differential expression analysis for sequence count data

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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

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A Limited Memory Algorithm for Bound Constrained Optimization

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21 January 2018

Identifiers

DOI

10.1038/NMETH.2930

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Dimensions Publication ID

3 August 2017

1027021432

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