Skill UI

Infers gene regulatory networks from bulk or single-cell expression data via GRNBoost2/GENIE3 with distributed computing support, ideal for transcriptomics workflows seeking TF-target relationships at scale.

COBRApy is a Python library for constraint-based reconstruction and analysis of metabolic networks, offering SBML-compatible model loading/saving, FBA/FVA optimization, genetic or reaction knockouts, flux sampling, and production envelope analysis for systems biology and metabolic engineering.

Provides programmatic access to DrugBank drug and target data, covering downloads, queries, interaction networks, targets/pathways, and chemical similarity analyses for pharmacology research and safety reviews.

Query the STRING REST API to retrieve protein-protein interaction networks, map identifiers, visualize evidence-weighted edges, and run GO/KEGG/Pfam enrichment for systems biology analysis.

Query the JASPAR REST API and Python helpers to retrieve TF binding profiles, convert PFMs to PWMs, and scan DNA sequences for high-confidence motifs, enabling regulatory variant interpretation, ChIP/ATAC analysis, and TF network construction.

Deploys ML-trained baselines across SCADA, Modbus, DNP3, and OPC UA communications in OT networks, correlating historian data to flag rogue devices and anomalous behavior.

Leverages Elasticsearch/OpenSearch to implement UEBA baselines from auth, file, and network logs, compute peer-group z-score anomaly risk, and correlate deviations into insider-threat alerts that feed SOC investigation workflows.