Statistical inference reveals the role of length, GC content, and local sequence in V(D)J nucleotide trimming is a research paper published in eLife (2023). On theSindex it has a DataRank of 0.269. It has been cited 5 times, with 2 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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.
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Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Institutes of Health
Grant: R01 AI146028
National Institutes of Health
Grant: R01 AI136514
National Institutes of Health
Grant: R35 GM141457
Howard Hughes Medical Institute
Grant: Investigator
National Institutes of Health
Grant: 5R01AI146028-02
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptors
National Institutes of Health
Grant: 1S10OD028685-01
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases Research
National Institutes of Health
Grant: 5R01AI136514-05
Decoding the interactions between T cell receptors and peptide-MHC
National Institutes of Health
Grant: 5R35GM141457-06
Molecular modeling and machine learning for protein structures and interactions
NIH HHS
Grant: S10 OD028685
Howard Hughes Medical Institute
FWCI
0.73
Citation Percentile
0.7%
Citation Trend
Fields of Study
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