Given a gene symbol (e.g. TPMT), query 3 public databases (ClinGen CAR, PharmGKB, Monarch) to obtain gene registry info, FDA drug labels, clinical annotations, and gene-phenotype associations. Save all results into a JSON file.
Gene Family Evolution Analysis - Analyze gene family evolution: CAFE gene tree, homology, Ensembl gene tree, and taxonomy. Use this skill for molecular evolution tasks involving get cafe genetree member symbol get homology symbol get genetree member symbol get taxonomy classification. Combines 4 tools from 1 SCP server(s).
Gene Expression Atlas - Build gene expression atlas: TCGA cancer expression, NCBI gene info, Ensembl gene details, and literature search. Use this skill for transcriptomics tasks involving get gene expression across cancers get gene metadata by gene name get lookup symbol search literature. Combines 4 tools from 4 SCP server(s).
Gene-Disease Association Analysis - Analyze gene-disease associations: NCBI gene metadata, OpenTargets disease associations, TCGA expression, and Monarch phenotypes. Use this skill for medical genetics tasks involving get gene metadata by gene name get associated targets by disease efoId get gene expression across cancers get joint associated diseases by HPO ID list. Combines 4 tools from 4 SCP server(s).
Gene Comprehensive Lookup - Comprehensive gene lookup: NCBI gene data, Ensembl gene info, UniProt protein data, and KEGG pathway links. Use this skill for bioinformatics tasks involving get gene metadata by gene name get lookup symbol get general info by protein or gene name kegg find. Combines 4 tools from 4 SCP server(s).
Full Protein Characterization - Complete protein characterization: validate sequence, compute all properties, predict structure, and analyze pockets. Use this skill for protein biochemistry tasks involving is valid protein sequence analyze protein ComputeProtPara pred protein structure esmfold run fpocket. Combines 5 tools from 4 SCP server(s).
Epigenomic Landscape Mapping - Map epigenomic landscape: overlapping features, regulatory elements, binding matrices, and phenotype links. Use this skill for epigenomics tasks involving get overlap region get phenotype region get species binding matrix get track data. Combines 4 tools from 2 SCP server(s).
Epigenetics & Drug Response - Link epigenetics to drug response: gene regulation, variant effects, drug interactions, and expression. Use this skill for epigenetic pharmacology tasks involving get overlap region get vep hgvs get drug interactions by drug name get gene expression across cancers. Combines 4 tools from 3 SCP server(s).
Retrieve genomic sequences from Ensembl database using transcript or gene IDs to obtain nucleotide and protein sequences.
Search the protein information from the input gene name and downloads the optimal PDB or AlphaFold structures.
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.) and perform basic sequence operations; use when you need reliable sequence I/O, lightweight sequence manipulation, or scalable processing of large sequence datasets.
Sequence alignment and alignment file processing with Biopython (Bio.Align/Bio.AlignIO), triggered when you need global/local pairwise alignment, MSA read/write/format conversion, or alignment statistics/filtering.
Use Bio.Phylo to read/write phylogenetic trees and perform visualization and statistics; use when tree parsing/conversion, pruning/rerooting, distance calculation, or plotting is required.
Advanced Biopython modules for motifs, population genetics, sequence utilities, restriction analysis, clustering, and GenomeDiagram visualization; use when you need extended bioinformatics analysis beyond basic sequence I/O and alignment.
Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results.
Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. Use when users want to identify shared DEGs, common hub genes, cross-disease biomarkers, or shared molecular mechanisms between two diseases using public GEO data. Triggers: "shared biomarker study for two diseases", "dual-disease transcriptomic ML paper", "identify common DEGs between disease A and B", "cross-disease hub gene discovery", "shared DEG + PPI + ROC design", "immune infiltration shared biomarker", or "I want to study disease X and Y together". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Use when you need to convert gene/protein IDs, find pathways, or retrieve biological annotations via bioDBnet.
Query and annotate gene variants from ClinVar and dbSNP databases. \n\.
Assess translational gaps between preclinical models and human diseases.
Map patient symptoms to Human Phenotype Ontology terms for gene diagnosis.
Access the STRING database to map identifiers, retrieve protein–protein interaction networks, and run functional/PPI enrichment when you need interaction context for a gene/protein set.
Use when analyzing biotech patent landscapes, identifying white spaces in pharmaceutical IP, tracking competitor patents, or assessing freedom to operate for drug development. Provides comprehensive patent analysis and strategic insights for life sciences innovation.
