unibind-database

To download validated transcription factor binding site coordinates, query the UniBind database to filter datasets by species, TF, and cell line, then use the skill's download command to retrieve BED or FASTA files for local workflows.

Yes, you can filter TF-DNA binding datasets by species, cell line, collection, data source, and p-value constraints using the provided wrapper scripts to narrow down experimentally validated records before downloading.

The best way to discover experimentally validated TF binding datasets is to query the UniBind database using structured wrapper scripts, which list available species, collections, and datasets returning JSON stdout output.

You list available species and transcription factors in the UniBind database by executing the provided Python wrapper script, such as using the `list_species` command, which outputs structured JSON metadata to stdout.

Yes, the UniBind query approach supports pagination and ordering to manage large dataset cataloging tasks, allowing you to systematically retrieve metadata and binding coordinates via JSON stdout output.

You should not use this approach for querying genomic interval overlaps or expression data, because it is specifically designed for dataset discovery, metadata cataloging, and retrieving BED or FASTA coordinates for TF-DNA binding sites.