Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells is a research paper published in Nature (2013). On theSindex it has a DataRank of 1.1. It has been cited 1,301 times.
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Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: F32 HD075541
NHGRI NIH HHS
Grant: P50 HG006193
NIH HHS
Grant: DP1 OD003958
NIH HHS
Grant: DP1OD003958-01
NCI NIH HHS
Grant: DP1 CA174427
NIDA NIH HHS
Grant: DP1 DA035083
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Grant: DP2 OD002230
NICHD NIH HHS
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The chromatin regulatory circuitry of bivalent domains
NHGRI NIH HHS
Grant: 1P50HG006193-01
Center for Cell Circuits
NIH HHS
Grant: DP1 OD003893
NIH HHS
Grant: 5DP1OD003893-03
Nano- and Microelectronic Tools for Interrogating Neuronal Circuits and Networks
NIAID NIH HHS
Grant: U54 AI057159
National Institutes of Health
Grant: 5U54AI057159-03
New England Regional Center of Excellence for Biodefens*
National Institutes of Health
Grant: 1DP1OD003958-01
The temporal reconfiguration of regulatory networks: From yeast to cancer
National Institutes of Health
Grant: 3P50HG006193-04S1
Center for Cell Circuits
National Institutes of Health
Grant: 1DP2OD002230-01
Revealing pathogen-sensing pathways using RNAi libraries
Howard Hughes Medical Institute
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Additional file 3 of Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
Additional file 3 of Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
Additional file 1 of Obstacles to detecting isoforms using full-length scRNA-seq data
Additional file 1 of Obstacles to detecting isoforms using full-length scRNA-seq data
Additional file 2 of Obstacles to detecting isoforms using full-length scRNA-seq data
Additional file 2 of Obstacles to detecting isoforms using full-length scRNA-seq data
Additional file 1 of Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering
Additional file 1 of Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering
Additional file 2 of Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering
Additional file 2 of Accounting for cell type hierarchy in evaluating single cell RNA-seq clustering
Additional file 13 of Dynamic rewiring of the human interactome by interferon signaling
Additional file 13 of Dynamic rewiring of the human interactome by interferon signaling
Additional file 1 of Dynamic rewiring of the human interactome by interferon signaling
Additional file 1 of Dynamic rewiring of the human interactome by interferon signaling
Additional file 1 of Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks
Additional file 1 of Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks
Additional file 1 of Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity
Additional file 1 of Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity
Additional file 6 of Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity
Additional file 6 of Pluripotent stem cell-derived models of neurological diseases reveal early transcriptional heterogeneity