Analysis Scripts: Genomic Evidence of Widespread Hybridization and Introgression in Andean Weinmannia

Overview

Repository containing reproducibility code and data-preparation scripts associated with the publication titled "Genomic Evidence of Widespread Hybridization and Introgression in Andean Weinmannia." The package is presented as the set of scripts required to reproduce core computational analyses and to prepare the genomic datasets used in the study. Metadata and organization are oriented toward enabling re-execution of the analytical pipeline underlying the manuscript.

Methods and approach

The codebase includes scripts for sequence- and variant-level data processing, workflow orchestration, and downstream analysis invocation. Specific tools or statistical models implemented are not asserted in the abstract; where pipeline components are identifiable within the repository they are described as scripts implementing the core analyses referenced by the publication. Documentation files and script headers are used to indicate execution order, input/output expectations, and software dependencies.

Results

The repository provides the computational artifacts (scripts, configuration files, and data-preparation routines) required to reproduce the analyses reported in the associated publication. The abstract does not enumerate analytical outcomes; therefore no biological or statistical results are asserted here beyond the repository's role in enabling reproduction of analyses reported in the manuscript. Any results generated by executing the scripts must be interpreted from the manuscript or the output produced on re-execution.

Implications

Availability of these scripts facilitates reproducibility and independent verification of the computational workflows used in the study. The repository supports reuse for methodological comparison, benchmarking, and extension, conditioned on correct installation of indicated dependencies and appropriate input data. Re-execution and inspection of the scripts are necessary to assess analytic choices, parameter settings, and to reproduce the numerical outputs reported in the manuscript.