There are lot of publicly available sample fastq files.
How to identify if they are generated from Illumina machines or ONT(Oxford Nanopore Technology) machines or any other machines?
1 answer
Assuming the data has not been modified in any way, you could look for a couple of things
Length of read (majority of reads)
Illumina : 300 bp or less (while 600 bp reads are possible no one generally does that)Nanopore : Reads that are generally longer than 300 bp
Fastq headers
Illumina header format is well defined - https://en.wikipedia.org/wiki/FASTQ_format#Illumina_sequence_identifiers
ONT headers look like
@3cfgt6cd-3671-4tgd-c61g-0c759bt068d0 runid=eb6214851489c8e00eb0dcbd00d737f7cccxxxx read=2178 ch=232 start_time=2021-11-21T10:35:44Z
Quality scores
Illumina reads - scores are going to be closer to Q35+
Nanopore reads - scores are going to be generally lower
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