AI Skills for Business Intelligence Analyst

Facilitates mass spectrometry data processing and analysis, enabling users to import, filter, and compare spectral data efficiently.

Facilitates the creation of reproducible R research projects, enabling statistical analysis, bioinformatics, and publication-ready reporting.

Automates R-based research workflows, enabling project creation, analysis execution, and publication-quality visualizations.

Automates GO and KEGG pathway enrichment analysis, providing statistical insights and visualizations for gene lists.

Queries and annotates gene variants from ClinVar and dbSNP databases, providing clinical significance and pathogenicity assessments.

Facilitates literature mining for drug discovery by searching PubMed and Semantic Scholar, providing structured results and citation tracking.

Predicts ADMET properties for drug candidates, aiding in early drug discovery by assessing drug-likeness and safety risks.

Generates Kaplan-Meier survival curves and calculates survival statistics for clinical and biological data analysis.

Facilitates in-depth biological research using the BIOS API with options for API key or crypto payments.

Analyzes DNA, RNA, and protein sequences using genomic pipelines for alignment, variant calling, and expression analysis.

This skill assists users in searching and analyzing biomedical literature from PubMed, providing detailed metadata and analysis capabilities.

Facilitates single-cell genomics analysis in Python by managing annotated data matrices and integrating with tools like Scanpy.

Integrates with Benchling's R&D platform for managing biological data, automating workflows, and querying lab data efficiently.

Arboreto infers gene regulatory networks from gene expression data using scalable algorithms, aiding in transcriptomics analysis.

Enables querying and analysis of 61M+ single-cell genomics data for population-scale studies, integrating with PyTorch and scanpy.

Queries NCBI ClinVar for variant significance, interprets classifications, and accesses data via API or FTP for genomic medicine.

deepTools is a powerful NGS analysis toolkit for converting BAM files, performing quality control, and generating visualizations for genomic data.

Access the Human Metabolome Database for comprehensive metabolite information, including chemical properties and clinical relevance.

Provides direct REST API access to KEGG for pathway analysis, gene mapping, and drug interactions in academic research.

Enables access to the NIH Metabolomics Workbench API for querying metabolite data and study metadata for biomarker discovery.