Hello,
I want to test QIIME2 to compare results with ones of QIIME1 and check if two program can same output results or not.
Before I use QIIME2, was using QIIME1. QIIME1 can hardly handle more than 200 samples, so I intend to change my original analysis protocol into QIIME2. For that, I have to get as same results of QIIME1 as possible or more precise results than ones of it.
Before start, I wanna say my 16S metagenomic sequences were sequenced at V3,V4 regions. I used a trimming and merging program, "PandaSeq" in my QIIME1 protocol as denoising phase in QIIME2.
FYI, I used this command.
command: pandaseq -f -r -w <merged.fasta> -g -t 0.9
I faced some problems at dada2 denoising.
First, viewed the "demux summarize" result. I decided to trim forward ones at 260 and reverse ones at 200 where quality score dropped under 30.
I ran the dada2 denoise with the paired 16S metagenomic sequences, and checked table.qzv. As you see the table.qzv, when inclining sampling depth a quite little, some samples disappear. This never happened in QIIME1. Where do I have to trim for almost same results of QIIME1?
met another problem, a red-colored message in demux summarize view.
"The plot at position 144 was generated using a random sampling of 9999 out of 3837702 sequences without replacement. This position (144) is greater than the minimum sequence length observed during subsampling (143 bases). As a result, the plot at this position is not based on data from all of the sequences, so it should be interpreted with caution when compared to plots for other positions. Outlier quality scores are not shown in box plots for clarity."
It says some reads are shorter than other normal reads. I think the message is warning to me in red color, but, do I have to care about that warning? The position changes whenever demux-summarizing, so I'm in chaos if consider it or not.
To summarize,
- Where do I have to trim, for almost same results of QIIME1?
- I feel like continuing to see that red message in the future. Whenever facing it, how do I interpret it, and how should I solve it?
Here are the demux.qzv and the denoise result, table.qzv.
demux.qzv (287.1 KB)
table260200.qzv (314.5 KB)