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biomaps-infra

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@biomaps-infra

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Comprehensive bioinformatics and computational research infrastructure providing programmatic access to genomic, proteomic, and chemical databases for scientific analysis and manuscript generation.

Skills Distribution
DomainData Systems...Bioinformatics & G.. (40%)Scientific Data En.. (30%)Computational Chem.. (20%)Technical Document.. (10%)

Agent Skills by biomaps-infra

Showing 176 vetted skills indexed across 1 GitHub repositories.

biomaps-infrabiomaps-infra

lib-pyopenms

Provides Python interface to OpenMS library for mass spectrometry analysis of proteomics and metabolomics data.

Official
Advanced
biomaps-infrabiomaps-infra

workflow-peer-review

Guide structured peer review of manuscripts and grant proposals.

Official
Advanced
biomaps-infrabiomaps-infra

lib-esm

Generate protein sequences and embeddings using ESM3 and ESM C.

Official
Advanced
biomaps-infrabiomaps-infra

lib-etetoolkit

Manipulate, analyze, and visualize phylogenetic trees with the ETE Toolkit.

Official
Advanced
biomaps-infrabiomaps-infra

lib-zarr-python

Store and query chunked, compressed N-dimensional arrays with Python.

Official
Intermediate
biomaps-infrabiomaps-infra

bio-neurokit2

Process and analyze physiological signals with the neurokit2 Python package.

Official
Advanced
biomaps-infrabiomaps-infra

lib-biopython

Manipulate biological sequences and parse FASTA, GenBank, PDB, and mmCIF files.

Official
Advanced
biomaps-infrabiomaps-infra

lib-deepchem

Trains and applies DeepChem machine learning models for molecular property prediction.

Official
Advanced
biomaps-infrabiomaps-infra

db-ena

Retrieve nucleotide sequences, raw reads, and genome assemblies from ENA via REST APIs.

Official
Advanced
biomaps-infrabiomaps-infra

analysis-scientific-critical-thinking

Evaluate scientific claims and research methodologies for biases and evidence quality.

Official
Advanced
biomaps-infrabiomaps-infra

web-parallel-web

Search the web, conduct deep research, and extract URL content with saved results.

Official
Advanced
biomaps-infrabiomaps-infra

service-imaging-data-commons

Query, download, and visualize cancer imaging data from the NCI Imaging Data Commons.

Official
Advanced
biomaps-infrabiomaps-infra

service-opentrons-integration

Program OT-2 and Flex robots using the Opentrons Protocol API v2.

Official
Advanced
biomaps-infrabiomaps-infra

db-alphafold

Retrieve AlphaFold protein structures by UniProt ID and download PDB/mmCIF files.

Official
Intermediate
biomaps-infrabiomaps-infra

bio-molecular-dynamics

Execute and analyze molecular dynamics simulations with OpenMM and MDAnalysis.

Official
Advanced
biomaps-infrabiomaps-infra

lib-pylabrobot

Control laboratory automation equipment through a unified Python SDK.

Official
Advanced
biomaps-infrabiomaps-infra

viz-scientific-schematics

Generate publication-quality scientific diagrams from natural language descriptions.

Official
Advanced
biomaps-infrabiomaps-infra

bio-scvi-tools

Train SCVI models on single-cell RNA-seq data with AnnData.

Official
Advanced
biomaps-infrabiomaps-infra

lib-gtars

Analyze genomic intervals with Rust and Python bindings for overlap detection and coverage tracks.

Official
Intermediate
biomaps-infrabiomaps-infra

db-reactome

Query the Reactome REST API for pathway enrichment and gene-pathway mapping.

Official
Intermediate
biomaps-infrabiomaps-infra

lib-edgartools

Extract financial statements and XBRL data from SEC EDGAR filings.

Official
Advanced
biomaps-infrabiomaps-infra

analysis-scientific-brainstorming

Facilitate scientific ideation through guided brainstorming with SCAMPER, Six Thinking Hats, and Biomimicry.

Official
Intermediate
biomaps-infrabiomaps-infra

db-metabolomics-workbench

Query NIH Metabolomics Workbench REST API for metabolites and study data.

Official
Intermediate
biomaps-infrabiomaps-infra

lib-astropy

Converts celestial coordinates, physical units, and computes cosmological models using Astropy in Python.

Official
Intermediate

Frequently Asked Questions About biomaps-infra

FAQPage Schema
What specific research tasks are enabled by these resources?โ–ผ

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?โ–ผ

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?โ–ผ

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.