Thanks, this works but it is extremely slow, is there any other alternatives?
Hi
I have a reference fasta file containing 130,000 unique sequences (barcodes), each 30nts long. These sequences were synthesized with random incorporation of nucleotides in each position, so they have very large hamming distance. I had a pool of cells each carrying a single barcode, these cells were sorted by FACS, and the genomic DNA extracted. Next, barcode regions were amplified by PCR and sent for 50bp single end illumina sequencing. What I want to do now is to count number of times that each of those 130,000 barcodes present in the fastq file. As the hamming distance is large, I would like to treat sequence with 2 or 3 nucleotides difference as the same sequence. What is the best way to do this? Currently I am testing bwa-mem, but wondering if there are better approaches for this task.
Thanks
1 answer
This is similar to tag counting for CRISPRi. Use: https://github.com/veeninglab/2FAST2Q I don't know about allowing for 2+ errors but it will allow one for sure.
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