Metadata-Version: 2.1
Name: seamlessf5
Version: 0.2
Summary: Helpers for smoother transitioning to multi-read FAST5 files
Home-page: https://github.com/hyeshik/seamlessf5
Author: Hyeshik Chang
Author-email: hyeshik@snu.ac.kr
License: MIT
Download-URL: https://github.com/hyeshik/seamlessf5/releases
Description: # SeamlessF5
        SeamlessF5 adds useful missing features that helps making transitions to
        Oxford Nanopore Technologies's
        [new multi-read FAST5 format](https://community.nanoporetech.com/posts/fast5-file-format-change).
        
        ## Installation
        SeamlessF5 can be installed using [pip](http://pypi.python.org/pypi/pip)
        for Python 3.5+.
        
        ```bash
        pip install seamlessf5
        ```
        
        ## Conversion from single FAST5 files in `tar` to multi-read FAST5
        With the `sf5_single_to_multi_fast5` wrapper, ONT's `single_to_multi_fast5`
        becomes capable of loading single-read FAST5 files from `tar` or compressed
        `tar` files.
        
        ```bash
        sf5_single_to_multi_fast5 -i fast5.tar.gz -s save_path --recursive
        ```
        
        ## Running albacore for multi-read FAST5
        This package also installs wrappers, `sf5_read_fast5_basecaller.py`,
        `sf5_full_1dsq_basecaller.py`, and `sf5_paired_read_basecaller.py` which
        enable loading multi-read FAST5 files for ONT's albacore.
        
        ```bash
        sf5_read_fast5basecaller.py -i multiread-fast5-dir ...
        ```
        
        
Keywords: nanopore,fast5,converter,wrapper
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
