OwnLab
Official@ownlabai
Build the world. Own the world.
Agent Skills by OwnLab
Showing 176 vetted skills indexed across 2 GitHub repositories.
OwnLabAIpptx-posters
Generate PPTX-ready research posters from HTML/CSS templates with AI visuals.
OwnLabAImetabolomics-workbench-database
Query the Metabolomics Workbench REST API for metabolite data and study metadata.
OwnLabAIbenchling-integration
Automate Benchling REST API integration for datasets, sequences, inventories, and notebooks.
OwnLabAInetworkx
Create, analyze, and visualize graphs and networks with NetworkX.
OwnLabAIanndata
Organize single-cell data matrices with metadata into AnnData objects.
OwnLabAIscikit-survival
Analyze censored survival data and build time-to-event models with scikit-survival.
OwnLabAIqiskit
Translate quantum problems into executable circuits for simulators and IBM backends.
OwnLabAIuspto-database
Fetch patent and trademark data from USPTO APIs using Python scripts.
OwnLabAIscientific-brainstorming
Facilitate structured scientific brainstorming across research phases.
OwnLabAIkegg-database
Query KEGG REST API for pathway, gene, compound, and reaction data.
OwnLabAIpymc
Build Bayesian models with PyMC using NUTS sampling and LOO/WAIC comparison.
OwnLabAIpaper-2-web
Convert LaTeX or PDF academic papers into interactive websites.
OwnLabAIperplexity-search
Search the web with Perplexity models via OpenRouter and return cited results.
OwnLabAIresearch-lookup
Route research queries across Parallel Chat API and Perplexity backends.
OwnLabAIshap
Explain ML model predictions by attributing outputs to features using SHAP values.
OwnLabAIzinc-database
Search ZINC database compounds by ZINC ID or SMILES with similarity and 3D structures.
OwnLabAIumap-learn
Performs scalable dimensionality reduction on high-dimensional data using UMAP.
OwnLabAIinterpro-database
Aggregate protein families, domains, and GO terms from the InterPro REST API.
OwnLabAIimaging-data-commons
Query and download public IDC imaging datasets by metadata using idc-index.
OwnLabAIgeomaster
Provide a multi-language geospatial toolkit with code examples for GIS and remote sensing.
OwnLabAIsympy
Solve, manipulate, and analyze mathematical expressions symbolically with Python and SymPy.
OwnLabAIvaex
Analyze large tabular datasets with lazy evaluation and out-of-core processing.
OwnLabAIjaspar-database
Search JASPAR profiles and scan DNA sequences for TF binding motifs.
OwnLabAIalphafold-database
Retrieve AlphaFold protein structures and confidence data by UniProt ID.
Frequently Asked Questions About OwnLab
FAQPage SchemaWhat specific research tasks can I perform using these modules?▼
You can perform genomic sequence analysis, protein structure retrieval, molecular dynamics simulations, statistical modeling, and scientific literature synthesis. The modules enable direct integration with major biological databases like UniProt, ChEMBL, and NCBI, alongside high-performance computing for bioinformatics and drug discovery.
Who is the target audience for these computational modules?▼
These modules are designed for computational biologists, bioinformaticians, medicinal chemists, and data scientists working in academic or pharmaceutical research environments. They are intended for researchers requiring programmatic access to complex biological datasets and standardized analysis pipelines.
What are the prerequisites for running these scientific modules?▼
Most modules require a standard Python environment with scientific libraries such as NumPy, Pandas, and SciPy installed. Specific tasks may require additional domain-specific dependencies like RDKit for chemistry, Biopython for sequence analysis, or specific API keys for accessing external databases like PubChem or the USPTO.