Metadata-Version: 2.1
Name: fastq2folder
Version: 1.0.5
Summary: Script to process fastq files before epi2me analysis
Project-URL: Homepage, https://github.com/pypa/sampleproject
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Author-email: Elizabeth Gardner <egar18111@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown


This code takes the fastq_pass folder generated by the MinION and creates a new folder where the fastq files are sorted into bins based on the estimated size.  

Start with the fastq_pass folder with the barcode folders containing the zipped fastq files.  In the same parent directory, a new folder called 'fastq_bins' will be created.  The fastqs will be unzipped, read lengths are estimated, and then sorted into a folder called bin2000, bin5000, etc., where the bin number is the estimated plasmid size to enter in epi2me.  A summary file pdf is also added to the 'fastq_bins' directory.