AI Skills for Business Intelligence Analyst

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

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.

Facilitates molecular featurization for machine learning with over 100 featurizers, enabling QSAR modeling and deep learning applications.

Facilitates differential gene expression analysis using Python DESeq2 for RNA-seq data, enabling comprehensive statistical workflows.

Pysam is a genomic file toolkit for reading and writing alignment and variant files, essential for NGS data processing pipelines.

Facilitates pathway analysis and gene mapping using the Reactome REST API for systems biology research.

Facilitates comprehensive single-cell RNA-seq analysis, including data loading, quality control, clustering, and visualization.

Provides a toolkit for biological data analysis, including sequence manipulation, phylogenetics, and diversity metrics for microbiome research.

Facilitates single-cell omics data analysis using scvi-tools for tasks like dimensionality reduction and differential expression.

TorchDrug is a PyTorch-based toolkit for drug discovery, enabling molecular property prediction, protein modeling, and knowledge graph reasoning.

Provides direct REST API access to UniProt for protein searches, FASTA retrieval, and ID mapping, enhancing bioinformatics workflows.

COBRApy enables constraint-based metabolic modeling for systems biology, facilitating metabolic engineering and analysis of cellular metabolism.