zenodoopen
ChIP-seq data for training purposes
<p>Data for the EBAII training and concerning reads extracted from GSE40129 serie (<a href="https://www.ncbi.nlm.nih.gov/geo">NCBI GEO dataset</a>) by human chr11 mapping.</p> <p>siNT_ER_E2_r3_chr11.fastq.gz (from <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM986063">GSM986063</a> sample) : ChIP-seq</p> <p>MCF_input_r3_chr21.fastq.gz (from <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM986091">GSM986091</a> sample) : input</p> <p> </p> <p> </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