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Links from GEO DataSets

Items: 20

1.

Unsupervised clustering and epigenetic classification of single cells

(Submitter supplied) 96 scATAC-seq samples generated for the retinoic acid-induced mESC differentiation at day 4.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19057
96 Samples
Download data: XLSX
Series
Accession:
GSE107651
ID:
200107651
2.

DC3: Deconvolution and coupled clustering from bulk and single cell genomics data

(Submitter supplied) HiChIP data generated for the retinoic acid-induced mESC differentiation at day 4.
Organism:
Mus musculus
Type:
Other
Platform:
GPL19057
17 Samples
Download data: BEDPE
Series
Accession:
GSE127807
ID:
200127807
3.

Integrative analysis of single cell genomics data by coupled nonnegative matrix factorizations (RNA-Seq)

(Submitter supplied) 464 scRNA-seq samples generated for the retinoic acid-induced mESC differenation at day 4.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
464 Samples
Download data: TXT
Series
Accession:
GSE115968
ID:
200115968
4.

HyDrop: droplet-based scATAC-seq and scRNA-seq using dissolvable hydrogel beads

(Submitter supplied) We developed HyDrop, a new droplet microfluidic single-cell sequencing protocol for single-cell ATAC-seq and single-cell RNA-seq. We applied HyDrop-ATAC to flash-frozen mouse cortex and generated 7996 single-cell chromatin accessibility profiles. We applied HyDrop-RNA to flash-frozen mouse cortex and generated 9508 single-cell transcriptomes. We also applied HyDrop-RNA to a small population of FAC-sorted neurons from the Drosophila brain to demonstrate the protocol's applicability to low-input samples. more...
Organism:
Homo sapiens; Mus musculus; Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
4 related Platforms
20 Samples
Download data: BW, TAR, TSV
Series
Accession:
GSE175684
ID:
200175684
5.

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

(Submitter supplied) Identification of the cis-regulatory elements controlling cell-type specific gene expression patterns is essential for understanding the origin of cellular diversity. Conventional assays to map regulatory elements via open chromatin analysis of primary tissues is hindered by sample heterogeneity. Single cell analysis of accessible chromatin (scATAC-seq) can overcome this limitation. However, the high-level noise of each single cell profile and the large volumes of data pose unique computational challenges. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: HDF5
Series
Accession:
GSE126724
ID:
200126724
6.

Single-cell chromatin accessibility data from K562 cells using scATAC-seq

(Submitter supplied) Profiles of single cell epigenomes, assayed using scATAC-seq, in K562 cells.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
288 Samples
Download data: CSV
Series
Accession:
GSE99172
ID:
200099172
7.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL19132 GPL25244 GPL21306
429 Samples
Download data: BW, TSV
Series
Accession:
GSE141590
ID:
200141590
8.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [10X_scRNAseq]

(Submitter supplied) Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21306
1 Sample
Download data: TSV
Series
Accession:
GSE141589
ID:
200141589
9.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [10X_scATACseq]

(Submitter supplied) Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
1 Sample
Download data: TSV
Series
Accession:
GSE141586
ID:
200141586
10.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [Omni-ATACseq]

(Submitter supplied) Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL19132 GPL25244
14 Samples
Download data: BW
Series
Accession:
GSE141584
ID:
200141584
11.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [FluidigmC1_scATACseq]

(Submitter supplied) Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
384 Samples
Download data: BW, TSV
Series
Accession:
GSE141580
ID:
200141580
12.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [ATACseq]

(Submitter supplied) Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
29 Samples
Download data: BW, TSV
Series
Accession:
GSE141573
ID:
200141573
13.

Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [ATAC-seq]

(Submitter supplied) We have developed a computational approach that uses self-organizing maps for integrative genomic analysis. We utilize this approach to identify the single-cell chromatin and transcriptomic profiles during mouse pre-B cell differentiation.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19057
265 Samples
Download data: TXT
Series
Accession:
GSE89362
ID:
200089362
14.

Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19057
833 Samples
Download data
Series
Accession:
GSE89285
ID:
200089285
15.

Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [scRNA-Seq]

(Submitter supplied) We have developed a computational approach that uses self-organizing maps for integrative genomic analysis. We utilize this approach to identify the single-cell chromatin and transcriptomic profiles during mouse pre-B cell differentiation.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
568 Samples
Download data: TXT
Series
Accession:
GSE89280
ID:
200089280
16.

Single-cell RNA-seq of fibroblasts from recessive dystrophic epidermolysis bullosa patients and wild-type controls

(Submitter supplied) The goal of this study is to discover fibroblast subpopulations relevant to recessive dystrophic epidermolysis bullosa
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15520
543 Samples
Download data: TXT
Series
Accession:
GSE108849
ID:
200108849
17.

Single-cell ftATACseq data of mouse thymocytes

(Submitter supplied) This dataset is related to our recent study "APEC: an accesson-based method for single-cell chromatin accessibility analysis". We adopted a fluorescent tagmentation-based single-cell ATAC-seq technique (ftATAC-seq) to investigated the per cell regulome dynamics of mouse thymocytes. Associated with ftATAC-seq, APEC revealed a detailed epigenomic heterogeneity of thymocytes, characterized the developmental trajectory and predicted the regulators that control the stages of maturation process.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL21273
704 Samples
Download data: BED, CSV, MTX
Series
Accession:
GSE149480
ID:
200149480
18.

Chromatin-accessibility estimation from single-cell ATAC data with scOpen

(Submitter supplied) We propose a computational method for quantifying the open chromatin status of regulatory regions from single cell ATAC-seq experiments. scOpen, which is based on positive-unlabeled learning of matrices, is able to estimate the probability that a region is open at a given cell mitigating the sparsity of scATAC-seq matrices. We demonstrate that scOpen improves all down-stream analysis steps of scATAC-seq data as clustering, visualization, detection of transcription factors and chromatin conformation in several scATAC-seq data.
Organism:
Mus musculus; Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL19057
12 Samples
Download data: BED, MTX, TSV
Series
Accession:
GSE139950
ID:
200139950
19.

Comparative regulatory analysis of single cell data reveals a novel B cell subpopulation in chronic lymphocytic leukemia

(Submitter supplied) We propose a computational method for single cell comparative regulatory analysis based on single cell gene expression (scRNA-seq) and single cell chromatin accessibility data (scATAC-seq) from two different conditions. Our software sc-compReg provides joint clustering and embedding of the cells from both scRNA-seq and scATAC-seq, and construction of differential regulatory networks across two conditions. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24676
4 Samples
Download data: BED, MTX, TSV
Series
Accession:
GSE159417
ID:
200159417
20.

Construction of Drosophila chromatin accessibility landscape at a single-cell level using CH-ATAC-seq

(Submitter supplied) The assay for transposase-accessible chromatin using sequencing (ATAC-seq) at single-cell level can provide different perspectives of regulatory patterns based on cell type-specific accessible regions. While human genomic elements have been well studied, understanding how nuclear acid sequence regulates the expression of target genes in a genome-wide level in other organisms remains a major challenge. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL32518
2 Samples
Download data: BED
Series
Accession:
GSE232271
ID:
200232271
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