Quantitative assessment of single-cell RNA-sequencing methods. - Test2 - elhamkhani - TriplyDB

Quantitative assessment of single-cell RNA-sequencing methods.

Quantitative assessment of single-cell RNA-sequencing methods.

http://www.wikidata.org/entity/Q33619848

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Current challenges in the bioinformatics of single cell genomics.Single cell genomics: advances and future perspectives Design and computational analysis of single-cell RNA-sequencing experiments Single-cell sequencing in stem cell biology Implications of Epigenetic Variability within a Cell Population for "Cell Type" Classification Single-cell analysis tools for drug discovery and development Nanotechnologies for biomedical science and translational medicine Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis Defining cell types and states with single-cell genomics Leveraging structure for enzyme function prediction: methods, opportunities, and challenges Not miR-ly micromanagers: the functions and regulatory networks of microRNAs in mammalian skin Invadopodia in context Heterogeneity in immune responses: from populations to single cells High-dimensional single-cell cancer biology Alternative polyadenylation in the nervous system: to what lengths will 3' UTR extensions take us?The Musashi 1 Controls the Splicing of Photoreceptor-Specific Exons in the Vertebrate Retina Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.Transcriptional and translational heterogeneity among neonatal mouse spermatogonia.Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.Single-cell RNA-Seq resolves cellular complexity in sensory organs from the neonatal inner ear.Single cell transcriptomics: methods and applications Single Cell Isolation and Analysis Single cells get together: High-resolution approaches to study the dynamics of early mouse development Application of single-cell genomics in cancer: promise and challenges Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing RNA Sequencing and Analysis Capture and Amplification by Tailing and Switching (CATS). An ultrasensitive ligation-independent method for generation of DNA libraries for deep sequencing from picogram amounts of DNA and RNA Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons Highly multiplexed simultaneous detection of RNAs and proteins in single cells Microfluidics in systems biology-hype or truly useful?Microfluidics for genome-wide studies involving next generation sequencing.Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities Microfluidics for single-cell genetic analysis An assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samples DAFS: a data-adaptive flag method for RNA-sequencing data to differentiate genes with low and high expression The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): illuminating the functional diversity of eukaryotic life in the oceans through transcriptome sequencing Image-guided genomics of phenotypically heterogeneous populations reveals vascular signalling during symbiotic collective cancer invasion.Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data Beta-Poisson model for single-cell RNA-seq data analyses.Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data

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Quantitative assessment of single-cell RNA-sequencing methods.

http://www.wikidata.org/entity/Q33619848

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2013 nî lūn-bûn

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2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2013 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods.

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Quantitative assessment of single-cell RNA-sequencing methods

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Francis M Mburu

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Gary L Mantalas

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Michael E Rothenberg

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Michael F Clarke

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Norma F Neff

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Sopheak Sim

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

Stephen R Quake

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Tomer Kalisky

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P2860

Stochastic mRNA synthesis in mammalian cells

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

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

Single-cell dissection of transcriptional heterogeneity in human colon tumors

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors

TopHat: discovering splice junctions with RNA-Seq

CD47 is upregulated on circulating hematopoietic stem cells and leukemia cells to avoid phagocytosis

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41-46

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10.1038/NMETH.2694

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1

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11

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Barbara Treutlein

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2013-10-20T00:00:00Z

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1008016112

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24141493

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4022966

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