Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells is a research paper published in Nature Biotechnology (2021). On theSindex it has a DataRank of 0.944. It has been cited 541 times.
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Base Score Contribution
0.944
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: HG0110014
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: HG-009748
MEXT | Japan Society for the Promotion of Science
Grant: 16H06295
DH | NIHR | Health Services Research Programme
Grant: DK103794
NIDDK NIH HHS
Grant: R01 DK103794
NHLBI NIH HHS
Grant: R01 HL146500
NHGRI NIH HHS
Grant: RM1 HG011014
NHGRI NIH HHS
Grant: R21 HG009748
NIDDK NIH HHS
Grant: U54 DK106829
National Institutes of Health
Grant: 1R21HG009748-01
Massively Parallel Multi-Modal Single-Cell Phenotyping Using a Portable Device
National Institutes of Health
Grant: 2R01DK103794-06
Systematic Genetic Dissection of Human Erythropoiesis
National Institutes of Health
Grant: 1R01HL146500-01A1
Next generation functional genomics of hematology traits
FWCI
29.10
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 1 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 2 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 2 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 3 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 3 of Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG
Additional file 1 of Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
Additional file 1 of Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
Additional file 2 of Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
Additional file 2 of Comprehensive benchmarking of CITE-seq versus DOGMA-seq single cell multimodal omics
Additional file 3 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 3 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 4 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 4 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 7 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 7 of Integrated analysis reveals the dysfunction of signaling pathways in uveal melanoma
Additional file 1 of InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation
Additional file 1 of InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation
Additional file 2 of InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation
Additional file 2 of InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation