Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

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2016年論文

@zh-tw

2016年论文

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2016年论文

@zh

2016年论文

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Item

label

Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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P1476

Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

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P2093

Alisa Lehman

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Andrew Farmer

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Magnolia Bostick

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Rachel N Fish

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P2860

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

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

An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis

Single-cell RNA-seq: advances and future challenges

Rapid production of full-length cDNAs from rare transcripts: amplification using a single gene-specific oligonucleotide primer

mRNA-Seq whole-transcriptome analysis of a single cell

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

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

Analysis of gene expression in single live neurons

P304

4.26.1-4.26.24

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P31

scholarly article

P356

10.1002/CPMB.23

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P478

116

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P577

2016-10-10T00:00:00Z

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P698

27723086

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P921

RNA-Seq