CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
about
Current challenges in the bioinformatics of single cell genomics.Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneitySingle cell genomics: advances and future perspectivesSingle-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and ResearchRNA-Seq methods for transcriptome analysisDesign and computational analysis of single-cell RNA-sequencing experimentsSingle-cell sequencing in stem cell biologySingle-cell Transcriptome Study as Big DataSingle-cell transcriptome sequencing: recent advances and remaining challengesSingle-cell technologies are revolutionizing the approach to rare cellsSingle-cell technologies to study the immune systemDynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisDefining cell types and states with single-cell genomicsLibrary construction for next-generation sequencing: overviews and challenges.Preparation of Single-Cell RNA-Seq Libraries for Next Generation SequencingThe role of single-cell analyses in understanding cell lineage commitmentHeterogeneity in immune responses: from populations to single cellsSingle-cell RNA-seq: advances and future challengesSingle molecule and single cell epigenomics.High-Throughput Single-Cell Labeling (Hi-SCL) for RNA-Seq Using Drop-Based MicrofluidicsAn Automated Microwell Platform for Large-Scale Single Cell RNA-Seq.Single cell transcriptomics: methods and applicationsPrecision targeted therapy of ovarian cancerApplication of single-cell genomics in cancer: promise and challengesANISEED 2015: a digital framework for the comparative developmental biology of ascidiansSingle-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated allelesA comparison of sperm RNA-seq methodsRNA Sequencing and AnalysisCapture 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 RNASingle-cell transcriptomics reveals bimodality in expression and splicing in immune cellsNuclear RNA-seq of single neurons reveals molecular signatures of activationUsing single nuclei for RNA-seq to capture the transcriptome of postmortem neuronsHighly multiplexed simultaneous detection of RNAs and proteins in single cellsMicrofluidics for genome-wide studies involving next generation sequencing.Single-Cell Isolation and Gene Analysis: Pitfalls and PossibilitiesSingle-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos.Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles.RNA-sequencing from single nuclei.EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics.Two methods for full-length RNA sequencing for low quantities of cells and single cells
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CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@ast
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@en
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@nl
type
label
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@ast
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@en
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@nl
prefLabel
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@ast
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@en
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@nl
P2093
P1433
P1476
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
@en
P2093
Florian Wagner
Itai Yanai
Tamar Hashimshony
P304
P356
10.1016/J.CELREP.2012.08.003
P577
2012-08-30T00:00:00Z