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There is probably a better way but here are a couple of commands you will probably find useful and can play with to accomplish your goal. This will take the barcode from the header and put it at the end of the read, thus allowing you to analyze as you normally would. I'm not much of a computer person either but I had to google around a little while ago to figure this type of thing out for a different purpose.
sed -n '1,${p;n;}' [file] > odd_lines
sed -n '2,${p;n;}' [file] > even_lines
The odd_lines file will have the headers and the even_lines file will have the reads. Then, cut the odd_lines file to abstract the barcode.
cut -f2 -d # odd_lines > part_1
cut -f1 -d / part_1 > barcodes
Then paste the barcodes to the ends of the reads and get rid of the tabs that will be between them:
paste even_lines barcodes | tr -d '\011' > reads_with_barcodes
Then put the header part lines together without the barcodes:
cut -f1 -d # odd_lines > first_head
cut -f2 -d / odd_lines > second head
paste first_head second_head | tr '\t' '#/' > headers_without_barcodes
and then finally put the two files back together:
paste headers_without_barcodes reads_with_barcodes | tr '\t' '\n' > new_file_to_analyze
This should work, although there may be typos.
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by SEQadmin2
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07-08-2026, 05:17 AM -
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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07-01-2026, 11:43 AM -
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