CLI for running EnzymeNet via Docker
Project description
EnzymeNet CLI
Run EnzymeNet from the command line using Docker.
🚀 Quick Start
pip install enzymenet-cli
enzymenet input.fasta output_dir
⚙️ Requirements
- Docker (must be installed and running)
- GPU (optional)
💻 Usage
enzymenet input.fasta output_dir
With GPU:
enzymenet input.fasta output_dir --gpu
📂 Input / Output
- Input: FASTA file
- Output: Directory containing results
📦 Model
The model is automatically downloaded on first run:
~/.enzymenet/model
🐳 Docker Image
tanakahiroki1989/enzymenet:ver1.0
🔗 Source
Project details
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 Distribution
enzymenet_cli-0.2.1.tar.gz
(4.2 kB
view details)
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 enzymenet_cli-0.2.1.tar.gz.
File metadata
- Download URL: enzymenet_cli-0.2.1.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad433264871e3942e07815cd9cf454612651924d80c6b925dce996ba4a8d42af
|
|
| MD5 |
318769732a04c177ece256088547cf9a
|
|
| BLAKE2b-256 |
7e4a7ab4e07610041375beb4c3fc930b9ce8a2583b906550e58a8b403a5a750c
|
File details
Details for the file enzymenet_cli-0.2.1-py3-none-any.whl.
File metadata
- Download URL: enzymenet_cli-0.2.1-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8aa507d99a992365fa5ef98e51fef562aa502546643da9a7382522fd18443166
|
|
| MD5 |
4a537cf00294bd8832baff9e5e303cea
|
|
| BLAKE2b-256 |
5b80272a190892e1fbd6705c00245a68c4ae7b732bb63af70b03d7c73e20a46f
|