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Arboreto is a specialized computational biology tool designed to identify transcription factor-target gene relationships within large-scale gene expression datasets. By leveraging parallelized algorithms such as GRNBoost2 and GENIE3, it enables researchers to reconstruct complex regulatory architectures from bulk or single-cell RNA-seq data. It is particularly useful for bioinformatics workflows requiring high-performance computing, as it natively supports distributed execution via Dask to handle tens of thousands of observations efficiently across local cores or multi-node clusters.
