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Script to process fastq files before epi2me analysis

Project description

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.

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fastq2folder-1.0.7.tar.gz (5.1 kB view hashes)

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fastq2folder-1.0.7-py3-none-any.whl (5.9 kB view hashes)

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