(Q57039955)

A curated database reveals trends in single-cell transcriptomics

https://www.nxn.se/single-cell-studies/data.tsv

describes a project that uses

7 February 2021

language of work or name

English

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publication date

3 October 2018

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October 2018

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published in

Nature

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volume

562

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issue

7727

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page(s)

367-372

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SMART-Seq

1 reference

A curated database reveals trends in single-cell transcriptomics

https://www.nxn.se/single-cell-studies/data.tsv

7 February 2021

10x Genomics Chromium

1 reference

A curated database reveals trends in single-cell transcriptomics

https://www.nxn.se/single-cell-studies/data.tsv

https://scigraph.springernature.com/pub.10.1038/s41586-018-0590-4

7 February 2021

exact match

0 references

cites work

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Single-cell dissection of transcriptional heterogeneity in human colon tumors

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

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Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq

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Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns

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Single-cell spatial reconstruction reveals global division of labour in the mammalian liver

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A single-cell survey of the small intestinal epithelium

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Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

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A survey of human brain transcriptome diversity at the single cell level

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Cellular Taxonomy of the Mouse Striatum as Revealed by Single-Cell RNA-Seq

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Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing

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Classifying Drosophila Olfactory Projection Neuron Subtypes by Single-Cell RNA Sequencing

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Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte.

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Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human Glioblastoma.

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