parallelnewhybrid

parallelnewhybrid provides parallelized execution of newhybrids analyses within R to assign individuals to hybrid classes based on per-locus patterns of gene inheritance, reducing computational time for hybrid detection studies.

Key Features:

• R package integration: Implements parallel execution of newhybrids analyses as an R package.
• Hybrid detection methodology: Uses newhybrids' locus-by-locus inheritance patterns to assign individuals to specific hybrid classes such as F1, F2, and other categories.
• Parallelization capabilities: Automates multiple independent newhybrids runs to execute concurrently across available CPU cores to reduce computation time.
• Operating system–specific functions: Provides three operating system–specific functions to execute parallel analyses on each core.

Scientific Applications:

• Evolutionary Biology: Enables detailed classification of hybrid individuals to support analyses of speciation and evolutionary dynamics.
• Conservation Genetics: Facilitates identification of hybrid individuals within populations to inform conservation and management decisions.
• Regulatory Assessment: Supports accurate hybrid detection that can inform legal and regulatory decisions regarding species protection and management.

Methodology:

Executes multiple independent newhybrids analyses in parallel across available CPU cores using three operating system–specific functions and applies newhybrids' per-locus inheritance patterns to assign individuals to hybrid classes (e.g., F1, F2).