Single nuclei ATAC-Seq data from the human ganglionic eminences
Data generated through single nuclei ATAC sequencing on whole ganglionic eminences from 3 human fetuses (two of 16 and one of 17 gestational weeks). Tissue was acquired from the MRC-Wellcome Trust Human Developmental Biology Resource with ethical approval. snATAC-Seq libraries were prepared from ~8,000 nuclei per sample using Chromium Next GEM Single Cell ATAC (v1.1) reagents (10X Genomics). Quality control of libraries was performed using the Agilent 5200 Fragment Analyzer before sequencing on an Illumina NovaSeq 6000 to a depth of at least 617 million read pairs per library. Raw sequencing data were converted into FASTQ files. For a full description of data generation, please see Cameron et al, Schizophrenia Bulletin 2024, https://doi.org/10.1093/schbul/sbae083. Please note that 10X generated BAM files, rather than FASTQ files, have been uploded. FASTQ files can be regenerated using the 10X Genomics bamtofastq tool. https://support.10xgenomics.com/docs/bamtofastq
- 01/07/2024
- 3 samples
- DAC: EGAC00001002831
- Technology: Illumina NovaSeq 6000
Access to data is available through application to the Cardiff University DPMCN Functional Genomics Data Access Committee (email: BrayN3@Cardiff.ac.uk).
Access to data is available through application to the Cardiff University DPMCN Functional Genomics Data Access Committee (email: BrayN3@Cardiff.ac.uk). Data access will be granted to Principal Investigators with an institutional affiliation, and where the proposed research is consistent with the data use limitations of the dataset (based on original informed consent from the donors).
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS50000000411 | Epigenetics |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
| ID | File Type | Size | Located in | |
|---|---|---|---|---|
| EGAF50000135084 | bam | 40.2 GB | ||
| EGAF50000135085 | bam | 84.1 GB | ||
| EGAF50000135086 | bam | 55.6 GB | ||
| EGAF50000135087 | bai | 7.0 MB | ||
| EGAF50000135088 | bai | 8.3 MB | ||
| EGAF50000135089 | bai | 8.5 MB | ||
| 6 Files (180.0 GB) | ||||