I am relatively new to the field, and I could desperately use some help.
I am trying to process a FASTQ File using DADA2, but I really would like to separate all of the forward and reverse reads for each sample out of a very large FASTQ file. The file was initially large FASTA file, and I have already trimmed the file to remove the primers and barcodes using qiime1 , and I still have the mapping file. I then converted the file using qiime1 from a fasta to a fastq, but I'm really at a loss as to what I should do next.
I do not understand either. How can a file originally have been a fasta file, and then a fastq file? Where do the quality encodings come from? But if you simply have a fastq files (paired-end) with both reads in the same file (you call that interleaved), aiming to deinterleave into two separate files, here are some inspirations.
Qiime1 has a script, split_sequence_file_on_sample_ids.py, which will separate fastq or fasta files demultiplexed using split_libraries.py, into separate files for each sample. But this will not separate forward reads from reverse reads, if your forward and reverse reads are all in one file.
If you have single FASTQ files then your data is not paired-end.
You are talking about seperating reads. Is it mean demultiplexing? i.e seperating reads of each sample. And DADA2 assume that you have demultiplexed FASTQ files.
I do not understand either. How can a file originally have been a fasta file, and then a fastq file? Where do the quality encodings come from? But if you simply have a fastq files (paired-end) with both reads in the same file (you call that interleaved), aiming to deinterleave into two separate files, here are some inspirations.
I am sorry but the question is not clear to me. What do you want to achieve?
And are you talking about demultiplexing?
Qiime1 has a script, split_sequence_file_on_sample_ids.py, which will separate fastq or fasta files demultiplexed using split_libraries.py, into separate files for each sample. But this will not separate forward reads from reverse reads, if your forward and reverse reads are all in one file.