Development of a pipeline for analyzing the gene expression profile of transcripts
<pre>Data corresponding to the scientific initiation project in bioinformatics. </pre> <pre>The data in the <em>parcial_report_input</em> folder are equivalent to raw counts, metadata and data of FPKM values of genes from the analysis performed during the first six months of the project. They correspond the counts and metadata from a previous study from renal cell carcinoma. As for the <em>F</em><em>inal_report_input</em>, it also contains counts and metadata, but from a previous study of ostesarcoma. The metadata and raw data files can be found under the accesion number hs000699.v1.p1 in dbGAP. The scripts wrote to perform pre-processing of samples, differential expression analysis, network analysis and functional annotation can be found in <a href="https://github.com/meidanis-lab/trans-pipeline">GitHub repository</a>. </pre>
ShareScore
36/100
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
- 0