A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [wt RNA-seq]
Single-nucleus RNA-seq · human · 2 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 2 samples
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variantsCell · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE267549_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1111816 and SRA study SRP507918. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE263335 A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [STARR-RNA-seq] 16 samples shares interpretation, convolutional, facilitates, non-coding, regulatory, enhanced, networks, clinical
- GSE263337 A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [ChIP-seq] 16 samples shares interpretation, convolutional, facilitates, non-coding, regulatory, enhanced, networks, clinical
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- GSE275368 A ONECUT1 regulatory, non-coding region in pancreatic development and diabetes [RNA-seq] 24 samples shares non-coding, regulatory
- GSE292881 Non-coding structural variants identify a commonly affected regulatory region steering FOXG1 transcription in early neurodevelopment [CUT&Run] 47 samples shares non-coding, regulatory
- GSE317503 Reference-guided genome assembly of long non-coding RNA transcripts reveals target genes associated with Crohn’s disease 140 samples shares non-coding
- GSE249493 An atlas of small non-coding RNAs in Human Preimplantation Development [RNA-seq] 103 samples shares non-coding
- GSE273784 tRNA-overlapping long non-coding RNAs loci repress codon-biased genes 47 samples shares non-coding
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.