Learning the properties of adaptive regions with functional data analysis is a research paper published in PLoS Genetics (2020). On theSindex it has a DataRank of 0. It has been cited 31 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.
National Institute of General Medical Sciences
Grant: R35GM128590
National Science Foundation
Grant: DEB-1753489
National Institutes of Health
Grant: T32GM102057
National Human Genome Research Institute
Grant: 1F31HG010574-01
Statistical methods for differential peak detection in Hi-C data
NHGRI NIH HHS
Grant: F31 HG010574
National Institutes of Health
Grant: 5T32GM102057-09
Computation, Bioinformatics, and Statistics (CBIOS) Training Program
National Science Foundation
Grant: 1753489
SG: Inferring phylogenies under ancestral population structure
National Science Foundation
Grant: 2001063
Collaborative Research: Understanding the Deep Ancestry of the Indigenous People of North America
National Science Foundation
Grant: 1949268
SG: Inferring phylogenies under ancestral population structure
National Institutes of Health
Grant: 5R35GM128590-07
Identifying complex modes of adaptation from population-genomic data
National Institutes of Health
Grant: 7R35GM128590-02
Identifying complex modes of adaptation from population-genomic data
FWCI
2.56
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords