Need quick access to gene information, protein structures, or expression data? This skill provides unified access to 20+ bioinformatics databases through a single interface. Search genes, retrieve sequences, predict structures, and analyze disease associations without switching tools.

Finding and processing gene expression datasets requires navigating complex database structures and file formats. This skill provides ready-to-use code patterns for searching, downloading, and analyzing GEO microarray and RNA-seq data.

Working with genomic interval data for machine learning tasks requires specialized tools. Geniml provides unsupervised methods for learning embeddings of genomic regions, single cells, and metadata labels for similarity searches, clustering, and downstream analysis.

Search and retrieve gene information from NCBI Gene database. Get gene symbols, RefSeq sequences, GO annotations, chromosomal locations, and phenotype associations for research and analysis.

Protein engineering requires specialized AI models to analyze sequence-structure-function relationships. ESM provides state-of-the-art protein language models for generating novel sequences, predicting structures, and designing functional proteins through multimodal AI.

Genomic researchers need access to gene sequences, variants, and comparative data across species. This skill queries the Ensembl database REST API to retrieve gene information, DNA sequences, variant predictions, orthologs, and regulatory features for over 250 vertebrate species.

Finding and downloading nucleotide sequences requires understanding complex API syntax and multiple endpoint patterns. This skill provides comprehensive documentation for querying the European Nucleotide Archive to retrieve DNA/RNA sequences, genome assemblies, and raw sequencing reads by accession.

Denario automates the complete research pipeline from data analysis to publication. It uses AI agents to generate hypotheses, develop methodologies, execute experiments, and produce journal-formatted papers.

Cancer researchers need programmatic access to the world's largest somatic mutation database. This skill enables authenticated downloads of COSMIC cancer genomics data including mutations, gene annotations, and clinical variants for research and precision oncology.

Finding clinical trials for patients, research, or drug development requires navigating a complex registry. This skill provides a Python interface to query the official ClinicalTrials.gov database. Search by condition, drug, location, or sponsor to find recruiting trials, retrieve detailed study information, and export data for analysis.

Managing citations manually is time-consuming and error-prone. This skill automates searching academic databases, extracting metadata from DOIs and PMIDs, validating citations, and generating publication-ready BibTeX entries.

Finding drug discovery data requires searching multiple databases and understanding complex API queries. This skill provides ready-to-use functions for querying ChEMBL's database of over 2 million bioactive compounds, 19 million bioactivity measurements, and approved drug information.

Researchers need efficient access to population-scale single-cell data for genomics studies. This skill provides AI-powered access to the CZ CELLxGENE Census with optimized query patterns and integration guides for downstream analysis.

Finding enzyme kinetic parameters from literature requires extensive searching. This skill provides direct access to the BRENDA database through a simple interface for retrieving Km values, reaction equations, and organism-specific enzyme data for biochemical research.

Researchers need to retrieve biological data from multiple databases. This skill provides unified access to 40+ bioinformatics services including UniProt, KEGG, ChEMBL, and Reactome for protein sequences, pathways, compounds, and interactions.

Finding life sciences preprints requires manually browsing bioRxiv or using multiple tools. This skill provides a unified Python interface to search by keywords, authors, categories, and date ranges, then download papers and metadata in structured JSON format.

Complex biomedical research tasks require specialized knowledge and repetitive analysis steps. Biomni automates multi-step research workflows across genomics, drug discovery, and clinical genomics using LLM-powered reasoning and integrated biomedical databases.

Astronomical research requires precise handling of celestial coordinates, physical units, and specialized data formats. This skill provides expert guidance on using astropy for coordinate transformations, FITS file operations, cosmological calculations, and time scale conversions.

AlphaFold DB provides over 200 million AI-predicted protein structures. This skill helps researchers retrieve structure files, analyze confidence scores, and integrate predictions into computational pipelines for drug discovery and structural biology.

Design proteins but lack wet lab access? Submit sequences directly to Adaptyv's automated cloud laboratory for binding assays, expression testing, thermostability measurements, and enzyme activity analysis. Receive experimental results in approximately 21 days.