Source data for analysis of super-enhancer interactomes v1
<p><strong>Super-enhancer interactomes from single-cells link clustering and transcription</strong></p> <p>Derek Le, Antonina Hafner, Sadhana Gaddam, Kevin Wang, Alistair Boettiger</p> <p>This Zenodo repository contains data files associated with our analysis.</p> <p>Software for processing the data is available in the associated github repository: https://github.com/BoettigerLab/SEclustering-2024</p> <p>Additional information can be found in the associated manuscript, currently in preparation -- once it is posted on BioRxiv, it will be linked here. </p> <p>This deposition currently includes<br>1) SuperEnhancerLoci.xlsx - a master data table linking the genomic sequence barcode data from the corrected tables (described below) to the corresponding super-enhancer and their genomic coordinates in mm10.<br>2) Corrected_Data_Tables_by_FOV.zip -- contains drift corrected and chromatically corrected x,y,z coordinates and cellular barcode data to track cell type and coordinate barcode data to identify genomic sequences. <br>3) Processed_Seq_Data.zip -- re-processed sequencing based data used in this study.<br>4) FOF-CT_Spot_tables.zip -- draft versions of the 4DN FOF-CT formatted data-standard spot tables. See data format description here: https://fish-omics-format.readthedocs.io/en/latest/ <br>5) Probe_Sequences.zip -- fasta files, bed files, and codebook tables for the RNA and DNA probe sequences used in this study.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
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