Image-based transcriptomics in thousands of single human cells at single-molecule resolution
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Image-based transcriptomics in thousands of single human cells at single-molecule resolution
Authors
Keywords
-
Journal
NATURE METHODS
Volume 10, Issue 11, Pages 1127-1133
Publisher
Springer Nature
Online
2013-10-08
DOI
10.1038/nmeth.2657
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- (2013) Alex K. Shalek et al. NATURE
- Single-chromosome transcriptional profiling reveals chromosomal gene expression regulation
- (2013) Marshall J Levesque et al. NATURE METHODS
- Transcript Dynamics of Proinflammatory Genes Revealed by Sequence Analysis of Subcellular RNA Fractions
- (2012) Dev M. Bhatt et al. CELL
- Single-Cell Expression Analyses during Cellular Reprogramming Reveal an Early Stochastic and a Late Hierarchic Phase
- (2012) Yosef Buganim et al. CELL
- Single-cell analysis of population context advances RNAi screening at multiple levels
- (2012) Berend Snijder et al. Molecular Systems Biology
- Transcriptome sequencing of single cells with Smart-Seq
- (2012) Jillian J Goetz et al. NATURE BIOTECHNOLOGY
- Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
- (2012) Daniel Ramsköld et al. NATURE BIOTECHNOLOGY
- Single-cell systems biology by super-resolution imaging and combinatorial labeling
- (2012) Eric Lubeck et al. NATURE METHODS
- CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
- (2012) Tamar Hashimshony et al. Cell Reports
- Single-Molecule mRNA Decay Measurements Reveal Promoter- Regulated mRNA Stability in Yeast
- (2011) Tatjana Trcek et al. CELL
- RNA sequencing reveals two major classes of gene expression levels in metazoan cells
- (2011) D. Hebenstreit et al. Molecular Systems Biology
- General properties of transcriptional time series in Escherichia coli
- (2011) Lok-hang So et al. NATURE GENETICS
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
- (2010) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
- (2010) D. Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- CellClassifier: supervised learning of cellular phenotypes
- (2009) Pauli Rämö et al. BIOINFORMATICS
- TopHat: discovering splice junctions with RNA-Seq
- (2009) Cole Trapnell et al. BIOINFORMATICS
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
- Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution
- (2008) Brian T. Wilhelm et al. NATURE
- Imaging individual mRNA molecules using multiple singly labeled probes
- (2008) Arjun Raj et al. NATURE METHODS
- RNA-Seq: a revolutionary tool for transcriptomics
- (2008) Zhong Wang et al. NATURE REVIEWS GENETICS
- The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
- (2008) U. Nagalakshmi et al. SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search