Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data is a research paper published in Nucleic Acids Research (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.
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US National Institutes of Health
Grant: R35-GM127070
US National Institutes of Health
Grant: R01-HG012944
US National Institutes of Health
Grant: R01-HG010346
National Institutes of Health
Grant: 1R01HG012944-01A1
A unified probabilistic model and software implementation for analysis of nascent RNA sequencing data
National Institutes of Health
Grant: 1R35GM127070-01
Evolutionary Human Genomics: Demography, Natural Selection, and Transcriptional Regulation
National Institutes of Health
Grant: 5R01HG010346-04
Evolution of Chromatin Architecture and Transcriptional Regulation in Mammals
FWCI
1.27
Citation Percentile
0.8%
Citation Trend
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