Building a neural network model to define DNA sequence specificity in V(D)J recombination is a research paper published in Nucleic Acids Research (2025). On theSindex it has a DataRank of 0.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Institutes of Health
Grant: AI168175
Oklahoma Center for Advancement in Science and Technology
Grant: HR21-142
National Science Foundation Graduate Research Fellowship Program
Grant: 2235060
Graduate Research Fellowship Program (GRFP)
NIAID NIH HHS
Grant: R01 AI168175
National Institutes of Health
Grant: 5R01AI168175-03
DNA sequence selectivity in conventional and aberrant V(D)J recombination
NIH
Oxford University Press
NIH
Oxford University Press
FWCI
0.00
Citation Percentile
0.1%
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals