소개
Arboreto is a high-performance computational library designed to identify transcription factor-target gene relationships within gene expression datasets. By leveraging parallelized algorithms that scale from local machines to multi-node clusters via Dask, it enables researchers to reconstruct complex regulatory landscapes from both bulk and single-cell RNA-seq data. It is particularly useful for large-scale genomic studies where computational efficiency and the identification of high-confidence regulatory interactions are critical for downstream biological interpretation.
