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Distributed Dask Workflows

K-Dense-AI/claude-scientific-skills

Dask enables larger-than-memory pandas/NumPy workflows through parallel, distributed execution across dataframes, arrays, bags, and futures, making it ideal for scaling ETL, analytics, or custom computations across cores or clusters.

FlowIO FCS Handler

K-Dense-AI/claude-scientific-skills

Lightweight Python library to read, inspect, and write FCS v2.0-3.1 files, outputting metadata, channel info, and NumPy arrays for preprocessing cytometry pipelines and backend services.

TileDB VCF Storage

K-Dense-AI/claude-scientific-skills

TileDB-VCF lets you ingest, store, query, and export large genomic VCF/BCF datasets using TileDB’s sparse arrays, supporting incremental sample growth, parallel regions queries, and cloud-local interoperability for population genomics workflows.

Zarr Python Arrays

K-Dense-AI/claude-scientific-skills

Handles chunked, compressed N-D arrays in Python for cloud-friendly workflows; integrates seamlessly with NumPy, Dask, and Xarray to enable parallel I/O, sharding, and persistence to S3/GCS for large-scale scientific pipelines.

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