Ebbert Lab Nanopore PCS111 brain cDNA discovery (12 samples - AD vs Controls)
<p>For more information about this data see the publication: https://doi.org/10.1038/s41587-024-02245-9</p> <p>The publication GitHub is a good source of information: https://github.com/UK-SBCoA-EbbertLab/brain_cDNA_discovery</p> <p>There are also README files in the data that provide more information about what is contained in each directory.</p> <p> </p> <p>Basic information about main directory structure and files:</p> <p>reproducing_RNA_figures - Contains all references/annotations necessary for reproducing the stats, analysis, and figures for the RNA isoform analysis in the article.</p> <p>reproducing_nextflow_pipeline - Contains all references/annotations necessary for reproducing the NextFlow pipeline.</p> <p>proteomics - Fasta reference files files used for proteomics analysis with FragPipe and results output by FragPipe.</p> <p>transcriptomic_analysis_output - Contains output from transcriptomic analysis including: quality control, counts matrices, new RNA isoform annotations, and the Bambu R object.</p> <p>counts_transcript.txt - Transcript level counts (does not include any intronic reads).</p>
ShareScore
32/100
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
- 0
- Engagement
- 4
Topics
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