Open biocyberman opened 7 years ago
For the most part it looks similar to our workflow.
For viral assembly, bmtagger
is used for depleting samples of human reads.
For metagenomics, the full kraken
database will include the full human genome for classification. For bwa alignment, the database also similarly includes SILVA rRNAs and human genome. These reads can then be excluded afterwards.
Notable features to me:
bowtie
and bmtagger
for filtration. trimmomatic
) step and option to include/omit trimming during read filtration.IMHO and in terms of implementation, they are one step ahead of viral-ngs
on these features. Therefore I thought, about some adaptation, especially when you also see they have similar workflow.
I've used kneaddata for some time. It is quite robust with its features. I felt it is more flexible to use than current viral-ngs handlings of quality controls. So maybe
viral-ngs
can borrowkneaddata
ideas or use it directly: https://bitbucket.org/biobakery/kneaddata/wiki/Home