Correcting signal biases and detecting regulatory elements in STARR-seq data is a research paper published in Genome Research (2021). On theSindex it has a DataRank of 0.470. It has been cited 22 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.470
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: R01HD085227
National Institutes of Health
Grant: UM1HG009428
National Institutes of Health
Grant: R01DK104927
NIH
Grant: F32DK115188
NHGRI NIH HHS
Grant: R01 HG010741
National Institutes of Health
Grant: 5F32DK115188-03
Functional characterization of regulatory variants associated with maternal hyperglycemia
National Institutes of Health
Grant: 5UM1HG009428-03
Regulatory Mechanisms of CD4+ T Cell Differentiation
National Institutes of Health
Grant: 5R01HG010741-03
Quantifying the genetic diversity of human regulatory element activity
National Institutes of Health
Grant: 5R01DK104927-04
The function and regulation of the novel pregnancy-specific hexokinase HKDC1
National Institutes of Health
Grant: 1R01HD085227-01A1
Multiethnic Fine-Mapping of Polycystic Ovary Syndrome Susceptibility Loci
Fields of Study
MeSH Terms
Keywords