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Description:

From a FASTA file and a matching QUAL file, generates a FASTQ file. A minimal FASTQ file omits the redundant sequence label on the quality scores; the quality scores for a sequence are assumed to follow immediately after the sequence with which they are associated. The output FASTQ file will be generated in the specified output directory with the same name as the input FASTA file, suffixed with ‘.fastq’. A FASTQ file will be split into FASTA and QUAL files, and generated in the designated output directory.

Usage: convert_fastaqual_fastq.py [options]

Input Arguments:

Note

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[REQUIRED]

-f, --fasta_file_path
Input FASTA or FASTQ file.

[OPTIONAL]

-q, --qual_file_path
animal Tote for Bag E Beach 10 Red Gym elephant 42cm x38cm HippoWarehouse Shopping litres alphabet Classic Required input QUAL file if converting to FASTQ.
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-o, --output_dir
animal elephant Gym Tote Bag Red alphabet 10 42cm E HippoWarehouse litres Beach x38cm for Classic Shopping Output directory. Will be created if does not exist. [default: .]
-c, --conversion_type
Tote Gym x38cm animal Red Shopping litres elephant for Beach HippoWarehouse Bag alphabet Classic 10 42cm E Type of conversion: fastaqual_to_fastq or fastq_to_fastaqual [default: fastaqual_to_fastq]
-a, --ascii_increment
The number to add (subtract if coverting from FASTQ) to the quality score to get the ASCII character (or numeric quality score). [default: 33]
-F, --full_fasta_headers
Include full FASTA headers in output file(s) (as opposed to merely the sequence label). [default: False]
-b, --full_fastq
Include identifiers on quality lines in the FASTQ file (those beginning with a “+”). Irrelevant when converting from FASTQ. [default=False]
-m, 10 Red litres animal Shopping x38cm Bag alphabet Beach 42cm HippoWarehouse Tote E elephant for Classic Gym --multiple_output_files
Create multiple FASTQ files, one for each sample, or create multiple matching FASTA/QUAL for each sample. [default=False]

Output:

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Outputs a complete or minimal FASTQ file, which omits the redundant sequence label on the quality scores, or splits FASTQ file into matching FASTA/QUAL files.

Example:

Using the input files seqs.fna and seqs.qual, generate seqs.fastq in the fastq_files directory:

convert_fastaqual_fastq.py -f seqs.fna -q seqs.qual -o fastq_files/
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Example:

Using input seqs.fastq generate fasta and qual files in fastaqual directory:

convert_fastaqual_fastq.py -c fastq_to_fastaqual -f seqs.fastq -o fastaqual

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