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Search Integration , found 757 results

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Ensembl Genome API

ensembl-database

K-Dense-AI/claude-scientific-skills

Query Ensembl’s RESTful API to access gene annotations, sequences, variants, orthologs, and assembly mappings across 250+ species, enabling integration into genomic research pipelines.

Phylogenetic Tree Toolkit

K-Dense-AI/claude-scientific-skills

ETE Toolkit offers comprehensive phylogenetic tree manipulation, evolutionary event detection, taxonomy integration, and publication-grade visualization for phylogenomics workflows across research and clustering analyses.

LabArchives API Integration

labarchive-integration

K-Dense-AI/claude-scientific-skills

Integrates with LabArchives electronic lab notebooks via REST APIs to automate backups, manage entries and attachments, generate reports, and sync with Protocols.io, Jupyter, or REDCap workflows.

Latch Bio Workflows

latchbio-integration

K-Dense-AI/claude-scientific-skills

LatchBio Integration helps build serverless bioinformatics workflows with Python decorators, LatchFile/LatchDir data management, resource tuning, and Nextflow/Snakemake support for production pipelines.

Biosignal Processing Toolkit

K-Dense-AI/claude-scientific-skills

NeuroKit2 is a Python toolkit for processing ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals, making it easy to derive HRV, ERP, complexity, autonomic, and multimodal assessments for psychophysiology research and clinical integrations.

OMERO Microscopy Integration

omero-integration

K-Dense-AI/claude-scientific-skills

OMERO Integration provides a Python-centric bridge to connect with OMERO servers, query microscopy datasets, manipulate pixel and ROI data, attach annotations, and run scripted batch analyses for high-content workflows.

Opentrons Protocol Integration

opentrons-integration

K-Dense-AI/claude-scientific-skills

Provides the official Opentrons Protocol API v2 guidance for writing, loading hardware, and executing automated liquid-handling protocols on OT-2 and Flex robots, including module control, labware setup, and advanced pipetting flows.

PennyLane Quantum ML

K-Dense-AI/claude-scientific-skills

PennyLane is a hardware-agnostic quantum ML framework that lets you train parametrized quantum circuits with automatic differentiation, build hybrid quantum-classical models, and switch between simulators and hardware with tight PyTorch/JAX/TensorFlow integration.

Protocols.io Integration

protocolsio-integration

K-Dense-AI/claude-scientific-skills

Provides protocols.io API integration for searching, creating, updating, and publishing lab protocols, managing steps, workspaces, discussions, files, and experiment records so teams can automate collaborative protocol workflows.

PufferLib Reinforcement Learning

K-Dense-AI/claude-scientific-skills

PufferLib is a high-performance RL framework for fast parallel training, vectorized environments, and multi-agent workflows; use it when you need million-step-per-second PPO training, custom environments, or integration with Gymnasium, Atari, Procgen, and other ecosystems.

Pydicom Medical Imaging

K-Dense-AI/claude-scientific-skills

Pydicom lets Python programs read, write, and manipulate DICOM medical imaging files, covering pixel extraction, metadata edits, anonymization, format conversion, compression handling, and PACS integration for radiology workflows.

PyOpenMS Mass Spectrometry

K-Dense-AI/claude-scientific-skills

PyOpenMS exposes OpenMS via Python to cover end-to-end proteomics and metabolomics workflows, including file I/O, signal processing, feature detection, identification, quantitation, and integration with pandas/visualization stacks.

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