Effective detection of variation in single-cell transcriptomes using MATQ-seq
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Effective detection of variation in single-cell transcriptomes using MATQ-seq
Authors
Keywords
-
Journal
NATURE METHODS
Volume 14, Issue 3, Pages 267-270
Publisher
Springer Nature
Online
2017-01-17
DOI
10.1038/nmeth.4145
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Control of Transcript Variability in Single Mammalian Cells
- (2015) Nico Battich et al. CELL
- Whole transcriptome profiling reveals the RNA content of motor axons
- (2015) Michael Briese et al. NUCLEIC ACIDS RESEARCH
- Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos
- (2015) Xiaoying Fan et al. GENOME BIOLOGY
- Single Cell Transcriptome Amplification with MALBAC
- (2015) Alec R. Chapman et al. PLoS One
- Validation of noise models for single-cell transcriptomics
- (2014) Dominic Grün et al. NATURE METHODS
- Microfluidic single-cell whole-transcriptome sequencing
- (2014) A. M. Streets et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
- (2014) D. A. Jaitin et al. SCIENCE
- From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing
- (2013) G. K. Marinov et al. GENOME RESEARCH
- Quantitative single-cell RNA-seq with unique molecular identifiers
- (2013) Saiful Islam et al. NATURE METHODS
- Quantitative assessment of single-cell RNA-sequencing methods
- (2013) Angela R Wu et al. NATURE METHODS
- Smart-seq2 for sensitive full-length transcriptome profiling in single cells
- (2013) Simone Picelli et al. NATURE METHODS
- Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
- (2012) Daniel Ramsköld et al. NATURE BIOTECHNOLOGY
- Genome-Wide Detection of Single-Nucleotide and Copy-Number Variations of a Single Human Cell
- (2012) C. Zong et al. SCIENCE
- CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
- (2012) Tamar Hashimshony et al. Cell Reports
- Counting absolute numbers of molecules using unique molecular identifiers
- (2011) Teemu Kivioja et al. NATURE METHODS
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
- Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
- (2008) Arjun Raj et al. CELL
- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
- (2008) Da Wei Huang et al. NUCLEIC ACIDS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search