Leveraging shared ancestral variation to detect local introgression is a research paper published in PLoS Genetics (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.
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National Science Foundation
Grant: 1557151
Elucidating and detecting adaptive introgression
National Science Foundation
Grant: DGE-1633722
Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Grant: IA200620
University of California Institute for Mexico and the United States
Grant: CN-19-29
National Institutes of Health
Grant: 1R01HG012605-01A1
A genome-wide genealogical framework for statistical and population genetic analysis
National Science Foundation
Grant: 1759846
Collaborative Research: ABI Development: Cultivating a sustainable Open Tree of Life
National Institutes of Health
Grant: 1R35GM128946-01
Characterizing modes of natural selection via diverse ancient and modern samples
National Institute of General Medical Sciences
Grant: T32 GM128596
National Institutes of Health
Grant: R35GM128946
NHGRI NIH HHS
Grant: R01 HG012605
National Institutes of Health
Grant: 1F99HG013039-01
Leveraging natural and engineered genetic barcodes from single cell RNA sequencing to investigate cellular evolution, clonal expansion, and associations between cellular genotypes and phenotypes
National Institutes of Health
Grant: 3T32GM128596-03S1
Predoctoral Training Program in Biological Data Science at Brown University
National Institutes of Health
Grant: 5R01HG012605-03
A genome-wide genealogical framework for statistical and population genetic analysis
Alfred P. Sloan Foundation
Fields of Study
MeSH Terms
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Sustainable Development Goals