biomaps-infra
Official@biomaps-infra
Comprehensive bioinformatics and computational research infrastructure providing programmatic access to genomic, proteomic, and chemical databases for scientific analysis and manuscript generation.
Agent Skills by biomaps-infra
Showing 176 vetted skills indexed across 1 GitHub repositories.
lib-pyopenms
Provides Python interface to OpenMS library for mass spectrometry analysis of proteomics and metabolomics data.
workflow-peer-review
Guide structured peer review of manuscripts and grant proposals.
lib-esm
Generate protein sequences and embeddings using ESM3 and ESM C.
lib-etetoolkit
Manipulate, analyze, and visualize phylogenetic trees with the ETE Toolkit.
lib-zarr-python
Store and query chunked, compressed N-dimensional arrays with Python.
bio-neurokit2
Process and analyze physiological signals with the neurokit2 Python package.
lib-biopython
Manipulate biological sequences and parse FASTA, GenBank, PDB, and mmCIF files.
lib-deepchem
Trains and applies DeepChem machine learning models for molecular property prediction.
db-ena
Retrieve nucleotide sequences, raw reads, and genome assemblies from ENA via REST APIs.
analysis-scientific-critical-thinking
Evaluate scientific claims and research methodologies for biases and evidence quality.
web-parallel-web
Search the web, conduct deep research, and extract URL content with saved results.
service-imaging-data-commons
Query, download, and visualize cancer imaging data from the NCI Imaging Data Commons.
service-opentrons-integration
Program OT-2 and Flex robots using the Opentrons Protocol API v2.
db-alphafold
Retrieve AlphaFold protein structures by UniProt ID and download PDB/mmCIF files.
bio-molecular-dynamics
Execute and analyze molecular dynamics simulations with OpenMM and MDAnalysis.
lib-pylabrobot
Control laboratory automation equipment through a unified Python SDK.
viz-scientific-schematics
Generate publication-quality scientific diagrams from natural language descriptions.
bio-scvi-tools
Train SCVI models on single-cell RNA-seq data with AnnData.
lib-gtars
Analyze genomic intervals with Rust and Python bindings for overlap detection and coverage tracks.
db-reactome
Query the Reactome REST API for pathway enrichment and gene-pathway mapping.
lib-edgartools
Extract financial statements and XBRL data from SEC EDGAR filings.
analysis-scientific-brainstorming
Facilitate scientific ideation through guided brainstorming with SCAMPER, Six Thinking Hats, and Biomimicry.
db-metabolomics-workbench
Query NIH Metabolomics Workbench REST API for metabolites and study data.
lib-astropy
Converts celestial coordinates, physical units, and computes cosmological models using Astropy in Python.
Frequently Asked Questions About biomaps-infra
FAQPage SchemaWhat specific research tasks are enabled by these resources?โผ
These resources enable high-throughput processing of genomic sequences, protein structure retrieval, metabolic pathway enrichment analysis, and the execution of complex molecular dynamics simulations for drug discovery.
Which personas benefit most from this infrastructure?โผ
Computational biologists, bioinformaticians, medicinal chemists, and research scientists working in genomics, proteomics, or clinical research will find these resources essential for data-driven discovery.
What are the primary dependencies for running these computational modules?โผ
Most modules require a standard scientific environment with support for NumPy, pandas, and SciPy, alongside specific domain-dependent libraries like Biopython, RDKit, or PyTorch for machine learning tasks.