PopTargs

PopTargs provides a database and analysis resource for population evolutionary genetics focused on human microRNA (miRNA) target sites.


Key Features:

  • Comprehensive data integration: compiles predicted miRNA target sites with empirical datasets including allele frequencies, ancestral status, population differentiation statistics, and site conservation metrics.
  • Joint analysis capabilities: performs combined analyses of allele frequencies, ancestral alleles, population differentiation statistics, and conservation across target sites.
  • Comparative analysis tools: compares allele frequency spectra between groups of target sites to identify differences in allele distributions.
  • Visualization options: generates plots to represent data comparisons and analytical results.
  • Expandable database: structured for expansion as new data are integrated.
  • Custom database generation: includes raw database content and code enabling creation of custom databases for other species or datasets by adjusting file names.

Scientific Applications:

  • Studying selective forces on miRNA target sites: integrates allele frequencies and conservation metrics to investigate natural selection acting on regulatory motifs.
  • Investigating functional consequences of polymorphisms: links variation at miRNA target sites to potential effects on gene expression and regulatory function.
  • Analyzing population differentiation: examines how polymorphisms at target sites contribute to differences among human populations.

Methodology:

Compile data from multiple sources, align datasets with predicted miRNA target sites, and generate the database via a pipeline that can be adapted to other species or datasets by modifying file names.

Topics

Details

License:
MIT
Programming Languages:
R
Added:
1/9/2020
Last Updated:
1/17/2021

Operations

Publications

Hatlen A, Helmy M, Marco A. PopTargs: a database for studying population evolutionary genetics of human microRNA target sites. Database. 2019;2019. doi:10.1093/database/baz102. PMID:31608947. PMCID:PMC6790967.

PMID: 31608947
PMCID: PMC6790967
Funding: - Wellcome Trust: 200585/Z/16/Z

Links