FindMyFriends

FindMyFriends constructs pangenome matrices and groups homologous genes across microbial genomes in R/Bioconductor to support comparative genomics analyses such as identification of core and accessory genes and inference of evolutionary relationships.

Key Features:

• Pangenome Matrix Creation: Constructs pangenome matrices by grouping genes from related microbial organisms based on sequence similarity.
• Scalable Gene Grouping Algorithm: Employs a gene grouping algorithm that scales linearly with data size to enable analysis of large pangenomes.
• R/Bioconductor Implementation: Implemented in R as part of the Bioconductor ecosystem to enable interoperability with other Bioconductor packages.
• Statistical Framework: Leverages R's statistical capabilities to support flexible pangenomic analyses.

Scientific Applications:

• Genetic Diversity Exploration: Enables comparative analyses to characterize genetic diversity across strains and species.
• Core and Accessory Gene Identification: Facilitates identification and classification of core versus accessory genes within pangenomes.
• Evolutionary Relationship Inference: Supports inference of evolutionary relationships among microorganisms based on gene presence, absence, and grouping.
• Large-scale Microbial Genomics: Suited for studies of complex microbial communities and extensive genomic collections requiring scalable pangenome analysis.

Methodology:

Groups genes by sequence similarity to construct pangenome matrices using a gene grouping algorithm implemented in R within the Bioconductor framework and designed to scale linearly with data size.