Automated Author ProfileESCAFFIT, Fabrice
Center for Integrative Biology
ESCAFFIT, Fabrice
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ChIP-seq experiments with Flag antibody have been done in Caco-2/15 cell lines expressing Flag-tagge H2A.Z.1 or H2A.Z.2 histone variant isoforms. Genomic occupancy of both isoforms was meseasured from subconfluent (Sc) cells, the cell populations expressing H2A.Z.1-flag being called “Z1Sc”, whereas that expressing H2A.Z.2-flag are named “Z2Sc”.We then computed for each gene the number of reads present in TSS-associated peaks or gene body-associated peaks. Interestingly, a significant population of genes (2516 genes for H2A.Z.1 and 2542 genes for H2A.Z.2) have more signal in peaks in their body than at their TSS in subconfluent cells. The lists of these genes are shown in this file.
Authors
- ESCAFFIT, Fabrice