Infinite Mixture Models for Improved Modeling of Across-Site Evolutionary Variation is a research paper published in Molecular Biology and Evolution (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.
NIAID NIH HHS
Grant: U19 AI135995
NIAID NIH HHS
Grant: R01 AI153044
Wellcome Trust
Grant: 206298/Z/17/Z
NIAID NIH HHS
Grant: R01 AI162611
National Institutes of Health
Grant: 5R01AI153044-04
Statistical innovation to integrate sequences and phenotypes for scalable phylodynamic inference
Wellcome Trust
Grant: 206298
Putting genomic surveillance at the heart of viral epidemic response.
European Commission
Grant: 874850
MOnitoring Outbreak events for Disease surveillance in a data science context
European Commission
Grant: 725422
The evolutionary dynamics of pathogen emergence and establishment: from Reservoir Detection to Outbreak Control
National Institutes of Health
Grant: 5R01AI162611-05
Fast and flexible Bayesian phylogenetics via modern machine learning
National Institutes of Health
Grant: 3U19AI135995-04S3
Consortium for Viral Systems Biology (CViSB)
Wellcome Trust
Wellcome Trust
FWCI
0.00
Citation Percentile
0.2%
Fields of Study
MeSH Terms
Keywords