egglib

egglib provides polymorphism analyses and population-genetic statistics for analyzing genomic variation and comparing empirical data to coalescent simulations.

Key Features:

• Data import and format support: Imports genomic data in various formats to avoid manual format translation and manipulation.
• Data filtering and editing: Performs filtering and editing of genomic datasets prior to analysis.
• Diversity and polymorphism statistics: Computes a comprehensive suite of diversity and polymorphism statistics.
• Coalescent simulation integration: Facilitates comparison of empirical data with coalescent simulations.
• Scalability: Updated to handle modern dataset sizes effectively.
• Optimized algorithms: Implements improved algorithms for data processing and statistical calculations to enhance speed and accuracy.

Scientific Applications:

• Population polymorphism analysis: Enables repeatable analyses of polymorphism within populations.
• Evolutionary dynamics inference: Supports comparison of empirical data with theoretical models to study evolutionary processes.
• Genetic diversity assessment: Assesses genetic diversity across populations and species.
• Polymorphism identification: Identifies polymorphisms across different species.

Methodology:

Uses an optimized architecture and improved algorithms for efficient processing of large genomic datasets, statistical calculations, and comparison with coalescent simulations.