Changes in version 0.99.2                        

NEW FEATURES

    o   Added optional mart, gene_map, and enhancer-coordinate arguments so
	users can select an Ensembl mirror or provide local mapping resources.

    o   Added small, package-installed PEREGRINE example files for deterministic
	offline execution of build_gp_links().

IMPROVEMENTS

    o   Updated the minimum R version requirement to R 4.6.0.

    o   Replaced the hard-coded chromosome list with
	GenomeInfoDb::standardChromosomes() for human sequence validation.

    o   Added an explicit GenomicRanges import, declared IRanges as a runtime
	dependency, and refactored repeated input, cache, rowData, and
	peak-validation code into shared internal helpers.

    o   Split long enhancer-building routines into focused internal helpers and
	normalized R source indentation to four-space multiples.

    o   Avoided external chromosome-style lookups when aligning human sequence
	levels from EnsDb.Hsapiens.v86 with UCSC-style peak coordinates.

DOCUMENTATION

    o   Added a package-level help page.

    o   Added BiocManager installation instructions and executable, offline
	build_gp_links() examples to the vignette and function help page.

    o   Documented the KPMP-derived example inputs and the source of the bundled
	PEREGRINE example records.

TESTS

    o   Added regression tests for standard chromosomes, local BioMart mapping,
	local enhancer coordinates, shared helpers, sequence-level handling,
	and packaged example consistency.

                       Changes in version 0.99.0                        

NEW FEATURES

    o   Added build_gp_links_wrapper() to support MultiAssayExperiment,
	SingleCellExperiment, and SummarizedExperiment inputs.

    o   Added packaged example data via gp_example_inputs.

    o   Added a Bioconductor-style vignette demonstrating direct and
	container-based workflows.

FIXES

    o   Improved build_gp_links() handling of empty overlap cases so
	sparse inputs return empty results instead of errors.

    o   Updated the closest-gene mapping to use gene TSS positions.