I'm trying to process metagenomic sequences derived from ENA human gut metagenome with qiime2 in order to best compare them with my own 16S amplicon data.
The following error message occurs:
An error was encountered while running DADA2 in R (return code -11), please inspect stdout and stderr to learn more.
But I found that others have offered another solution. In short, it is to increase the 'operating memory'.
Here is my question:Can i use qiime for metagenomic data analysis and How should I do?
Here is my error log.
R version 4.0.2 (2020-06-22)
Loading required package: Rcpp
DADA2: 1.18.0 / Rcpp: 1.0.5 / RcppParallel: 5.0.2
- Filtering ...................................
- Learning Error Rates
7320948624 total bases in 50839921 reads from 1 samples will be used for learning the error rates.
*** caught segfault ***
address 0x2b7d68af7000, cause 'memory not mapped'