GSE133538

syn77084967

Created By Aditya Nath aditya.nath

doi: 10.1186/s13059-020-1949-z
title: Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects (C1HT small)
funder: NIH-NCI
series:
creator: Heyn Holger Lafzi Atefeh Mereu Elisabetta
license: CC-BY 4.0
species: Homo sapiens Mus musculus
studyId: syn9773338
subject:
ageGroup:
citation: Holland CH et al. (2020). Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data. Genome Biol. 21(1):36. doi: 10.1186/s13059-020-1949-z
dataType: gene expression
keywords: human PBMC (60%) and mouse colon (30%), HEK293T (6%), NIH3T3 (3%), MDCK (1%)
accessType: Open Access
contributor:
description: Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. We have generated benchmark datasets to syste...
grantNumber: CA217377
diseaseFocus:
downloadType: Synapse Hosted
alternateName: GSE133538
manifestation:
specimenCount: 160
yearProcessed: 2019
countryOfOrigin:
individualCount: 160
visualizeDataOn:
dataUseModifiers:
conditionsOfAccess: No restriction
measurementTechnique: RNA-seq single-cell RNA-seq
externalRepositoryUri: geo:GSE133538
includedInDataCatalog:

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