hello，Thanks for the excellent compression tools, I have some problems using the compression method with the reference genome，
I am compressing the FASTA data, and the reference genome is GRC38，I sampled the reference genome, that is to say, I did not use all the reference genome. The size of the original reference genome was 3G. I found that whether using the complete reference genome or half or even one-tenth of the reference genome, the compression rate nothing much has changed，I used Li Heng's samtools to check the comparison results. In fact, only about one-fifth of the data was compared. I want to know whether the comparison rate has a great impact on the compression performance of colord? Why do I get similar compression results with the full reference genome and with one-tenth of the reference genome (the smaller the reference genome, the lower the alignment rate)?
Looking forward to your reply，Best wishes！
hello，Thanks for the excellent compression tools, I have some problems using the compression method with the reference genome，
I am compressing the FASTA data, and the reference genome is GRC38，I sampled the reference genome, that is to say, I did not use all the reference genome. The size of the original reference genome was 3G. I found that whether using the complete reference genome or half or even one-tenth of the reference genome, the compression rate nothing much has changed，I used Li Heng's samtools to check the comparison results. In fact, only about one-fifth of the data was compared. I want to know whether the comparison rate has a great impact on the compression performance of colord? Why do I get similar compression results with the full reference genome and with one-tenth of the reference genome (the smaller the reference genome, the lower the alignment rate)?
Looking forward to your reply，Best wishes！