Benchmarking Illumina RNA-seq fusion transcript detection methods - cancer cell lines RNA-seq
<p>Cancer cell line RNA-seq data (reads or names of reads from CCLE data) used for benchmarking Illumina-based fusion detection methods as used in:</p> <p>Haas, B.J., Dobin, A., Li, B. <em>et al.</em> Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods. <em>Genome Biol</em> <strong>20</strong>, 213 (2019). https://doi.org/10.1186/s13059-019-1842-9</p> <p> </p> <p>For CCLE data, direct sharing of fastq files was not possible. CCLE data must be obtained from:</p> <p> https://portals.broadinstitute.org/ccle/home</p> <p>Instead, the identifiers for the reads leveraged as part of our study are made available, and these reads can be extracted from the CCLE fastq files directly once obtained from the primary source.</p> <p><br>For the non-CCLE data, the exact reads leveraged by our study are made directly available here in fastq format.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0