v0.3.0

BioDataLink 0.3.0 connects biological data to Wolfram Language 15.0 and later.

Documentation · Wolfram Cloud resource

Install from the published Cloud resource:

PacletInstall[ResourceObject["https://wolfr.am/1IzdEvymT"]]
Needs["WolframInstitute`BioDataLink`"]

• Discover sources in a bundled Identifiers.org directory and construct accession links.
• Search public BioStudies and GEO study metadata with explicit pagination.
• Browse metadata for 55 Pertpy loader entries.
• Download selected HTTPS files with byte limits and optional size and SHA-256 checks.
• Read the BioDataLink JSON interchange format or selected H5AD matrices with aligned metadata and sparse storage.
• Work through eleven tutorials covering data access, measurement geometry, sparse data, finite-state encodings, predictive rules, similarity graphs, cellular automata and measurement selection.

HTTPS downloads require curl 8.4 or later. H5AD support requires an explicitly configured Python interpreter with h5py and NumPy. BioDataLink does not install those optional dependencies automatically.

Source-directory entries do not establish open access or reader support. Private-data access is not part of this release. Examples distinguish measured data from synthetic inputs and model predictions from biological mechanisms.

The GitHub archives come from the successful CI run for the tagged commit. The versioned archive supports reproducible installations. Cloud publication rebuilt the paclet from the same tagged commit and verified the public site.

Code is MIT licensed. Bundled registry and Iris data retain their CC BY 4.0 attribution. Cite the original data sources used in your research.