Assistance scripts for ONT MinKNOW
Project description
fillet
Table of Contents
Introduction
fillet is a simulation manager for Oxford Nanopore Technologies MinKNOW software, making adding simulation devices and playback runs easier
Installation
Installing fillet with PyPI
pip install fillet
Install fillet from GitHub
git clone https://github.com/alexomics/fillet
cd fillet
python setup.py install
Usage
fillet installs with a terminal entry point as fillet
Add a bulk FAST5 file for simulation:
fillet sim -t <MinKNOW_config_filename> -b <bulk_file_to simulate>
Remove a bulk FAST5 file for simulation:
fillet sim -t <MinKNOW_config_filename>
Add a simulation device:
fillet add
Remove a simulation device:
fillet add -r
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
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 fillet-0.0.3.tar.gz.
File metadata
- Download URL: fillet-0.0.3.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3b3ce120b2641653552eb1a38c10624144f4e9b92e752d13f382e26528126830
|
|
| MD5 |
4c53c1f9cec66c6a2161f73c902c5c34
|
|
| BLAKE2b-256 |
1a0478413ea91da090442079f5db86ba9dddb01ca732cf94fd70d9fe80b89e3c
|
File details
Details for the file fillet-0.0.3-py3-none-any.whl.
File metadata
- Download URL: fillet-0.0.3-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
601151c897dffa6353e7addedd745f98ebfe6b7a238516e70b6b8746bb9778c0
|
|
| MD5 |
4264081fb97619baf940138cbc9fda14
|
|
| BLAKE2b-256 |
1cf7d7f851451ae0575530c29664ba92f80b6ca4cf2cc354f0c4952af67ed8da
|
