Hi all!
I have two data sets for one metagenome sample:
Illumina
2x300 bp shotgun metagenome library.DNBSEQ
2x100 bp shotgun metagenome library.
THe question is: is it possible to get more deep and complex assembly by combining those datasets before\after assembly step?
I've tried just merge forward and reverse reads from both Illumina
and DNBSEQ
into mergred_forward.fastq
and mergred_reverse.fastq
and pass it to SPAdes
or megahit
. But I feel this is wrong approach. I figured out that genes of 16S rRNA look more accurate from separated assemblies than from merged.
Also I've heard about unicycler
but it needs long-read sequencing data which i haven't. also I thought about using assembled contigs of Illumina or DNBSEQ data as pseudo-long-reads and pass to unicycler
but it seems illegal.
So I'm cunfused and need some advice at this point.
Thanks a lot!