a-slide / NanoCount

EM based transcript abundance from nanopore reads mapped to a transcriptome with minimap2
https://a-slide.github.io/NanoCount/
MIT License
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alignmnet using sequin reference #18

Closed rezarahman12 closed 1 year ago

rezarahman12 commented 1 year ago

Dera NanoCount team,

I noted in the NanoCount paper that the ONT data generated were first aligned to human and sequin genome and transcriptome using minimap2.

"FASTQ files containing ONT pass reads were aligned to the human (GRCh38) and synthetic sequin genome and transcriptome using minimap2 (v2.17)."

Could you please clarify whether two separate alignmnet steps were done- one for human transcriptome and another for sequin transcriptome?

Could you please share the script that you have used for alignmnent using minimap2?

I do highly appreciate your time and help. Kind regards Reza

josiegleeson commented 1 year ago

Hi Reza,

Yes I mapped them separately so I could quantify the transcripts separately. You could also map together and separate the files later, it shouldn't make a difference.

Here's what I did for each sample: minimap2 -ax map-ont human_transcripts.fa sample.fastq > human_sample_transcriptomic_aln.sam minimap2 -ax map-ont sequin_transcripts.fa sample.fastq > sequin_sample_transcriptomic_aln.sam