MetaWIBELE (Workflow to Identify novel Bioactive Elements in the microbiome) is a computational pipeline that identifies novel bioactive microbial gene products from metagenomes and finds new immunomodulatory gene families, especially targeting secreted/extracellular proteins to enrich for likely host interactors. The prioritized list of gene products can be further used for downstream experimental validation.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file metawibele-0.4.7.tar.gz.
File metadata
- Download URL: metawibele-0.4.7.tar.gz
- Upload date:
- Size: 89.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4923dae5d63ee67bbdd5a85fc0831cdb37cd40b0c18ffd9c756db59af434aa30
|
|
| MD5 |
03e9c6821ef0e67a2819512eb46441b6
|
|
| BLAKE2b-256 |
0bf5b7548bebec150d5ed1c37c57843f51f3639bee26f52ae1f2d34b8ed3a385
|
File details
Details for the file metawibele-0.4.7-py3-none-any.whl.
File metadata
- Download URL: metawibele-0.4.7-py3-none-any.whl
- Upload date:
- Size: 84.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
739d491254abe209cfbc72ecdc3043c1a2de4f7b215249f13af6c72135f9bd20
|
|
| MD5 |
f0bf8b6562256eb714d78295b1391a43
|
|
| BLAKE2b-256 |
8e44f33130ae796e4a664c2197062f4e7fda577891048222495d9dad2a78cafa
|
