Orange3 Bioinformatics
Orange Bioinformatics provides access to publicly available data, like GEO data sets, GO and KEGG. It enables gene enrichment analysis, clustering, classification, gene identification and provides several common visualizations. All features can be combined with other widgets from the Orange data mining framework. See documentation.
Features
Data access
- access to GEO data sets
- access to GO database
- access to KEGG pathways database
Bioinformatics analysis
- plot differential gene expression
- visualize diagrams of molecular interactions, reactions, and relations
- enrich gene sets
- cluster analysis
5 maintainers
Metadata
5 maintainers
Release files for Orange3-Bioinformatics 4.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Orange3-Bioinformatics-4.8.0.tar.gz | 3.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Orange3_Bioinformatics-4.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / Orange3-Bioinformatics-4.8.0.tar.gz
| Download URL | Orange3-Bioinformatics-4.8.0.tar.gz |
|---|---|
| Size | 3.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / Orange3_Bioinformatics-4.8.0-py3-none-any.whl
| Download URL | Orange3_Bioinformatics-4.8.0-py3-none-any.whl |
|---|---|
| Size | 339.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
