MIRA
Multi-source Indication & Report Analytics
Harmonising clinical trials, regulatory approvals, drug indications, and safety evidence for drug discovery.
Mira turns records from clinical-data providers into traceable Clinical Reports and aggregated Clinical Indications, with drug and disease entities mapped to the identifiers used by Open Targets.
Start with How Mira works for the concepts, data flow, and links to the detailed documentation.
Installation
pip install opentargets-mira
For the optional legacy ChEMBL Oracle curation utilities:
pip install "opentargets-mira[oracle]"
See the documentation index for data models, providers, Python usage, and CLI configuration.
1 maintainer
Release files for opentargets-mira 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opentargets_mira-1.0.0.tar.gz | 404.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opentargets_mira-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 470.9 kB
Release files / opentargets_mira-1.0.0.tar.gz
| Download URL | opentargets_mira-1.0.0.tar.gz |
|---|---|
| Size | 404.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | opentargets_mira-1.0.0-py3-none-any.whl |
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| Size | 66.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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