Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ProBioPred-1.0.0-py2.py3-none-any.whl (343.8 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page