Sequence features of yeast and human core promoters that are predictive of maximal promoter activity is a research paper published in Nucleic Acids Research (2013). On theSindex it has a DataRank of 4.5. It has been cited 100 times, with 92 citing works in its 1-hop citation network.
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Base Score Contribution
0.692
From this paper's citation signal
Citation Network Contribution
3.8
From 87 citing papers with measurable signal
European Commission
Grant: 614504
Deciphering the code of gene regulation using massively parallel assays of designed sequence libraries
European Commission
Grant: 200978
A combined experimental and computational approach for quantitative and mechanistic understanding of transcriptional regulation
FWCI
3.83
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Hybrid promoter engineering strategies in Yarrowia lipolytica: isoamyl alcohol production as a test study
Additional file 1 of Hybrid promoter engineering strategies in Yarrowia lipolytica: isoamyl alcohol production as a test study
Additional file 1 of A successful hybrid deep learning model aiming at promoter identification
Additional file 1 of A successful hybrid deep learning model aiming at promoter identification