Probiotic candidate prediction on the basis of genomic features by using Support Vector machine (SVM).
Project description
ProBioPred can uses Virlent factor (VFDB) and CARD database RGI tool to predict virulent and antibiotic resistence genes. Then it uses pre-trained SVM models to predict potential probiotic/non-probiotic candidates. ProBioPred is available as webserver at http://210.212.161.142/ProBioPred/ and as standalone at https://github.com/microDM/ProBioPred
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
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 ProBioPred-1.0.0-py2.py3-none-any.whl.
File metadata
- Download URL: ProBioPred-1.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 343.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c2d1300cb9981c1ab19148640417d5d4ed1c362b954315820243cfb1911bb5c
|
|
| MD5 |
27be6423778de5d7b022022354d75e01
|
|
| BLAKE2b-256 |
b8965d9249b73ed573541d9dea78e8b9f5ec66e6ef9b238afd5b84300580c280
|
