A Bayesian phylogenetic hidden Markov model for B cell receptor sequence analysis is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.
Scored on demand from live citation data
Linked data & code
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.
NIAID NIH HHS
Grant: R01 AI120961
NIAID NIH HHS
Grant: R01 AI138709
NIAID NIH HHS
Grant: U19 AI128914
NIAID NIH HHS
Grant: R01 AI146028
NIGMS NIH HHS
Grant: R01 GM113246
National Science Foundation
Grant: 1258485
IGERT-CIF21: Big Data U: A Program for Integrated Multidisciplinary Education and Research for Big Data Science
National Institutes of Health
Grant: 1R01AI120961-01A1
DEFINING THE INFANT IMMUNE RESPONSE TO HIV
National Institutes of Health
Grant: 5R01AI138709-04
Characterizing the broad antibody response to HIV superinfection
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: 5U19AI128914-05
Immune Responses to Malaria and HIV Infection and Immunization
National Institutes of Health
Grant: 1R01GM113246-01
Leveraing deep sequencing data to understand antibody maturation
National Institutes of Health
Grant: 5U19AI117891-02
Dynamics and Evolution of Immune Responses to Influenza Viruses
Howard Hughes Medical Institute
FWCI
1.50
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
A Bayesian Phylogenetic Hidden Markov Model for B Cell Receptor Sequence Analysis