Skip to main content
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&nbsp;<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM986091">GSM986091</a> sample) : input</p> <p>&nbsp;</p> <p>&nbsp;</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