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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>&nbsp;</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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