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Im looking to get consistent results per samples such that sample X in cohort A will have the same results as the same sample X in cohort B.
I have previously run dada2 (stand alone) on cohort A and cohort B and am now running the results through lotus2 lambda -taxOnly. Ive pulled the ASV taxonomy assignment for sample X in both cohorts and while the identified ASVs and counts are the same, the taxonomy results are different.
Do you know why the taxonomy of ASVs in sample X change dependent on which cohort the sample is in?
Apologies is this amounts to me not understanding lambda sufficiently!
The text was updated successfully, but these errors were encountered:
Hey,
it seems a bit weird, since the tax should be independent of cohort. I suspect your dada2 ASVs are numbered differently between cohorts, or that they are not identical ?
A quick check to make sure this is not caused by lotus2: Please run the same ASV file (eg from cohort A) two or three times through tax assign with lambda. This should always result in the same taxonomic assignments.
Hi,
Im looking to get consistent results per samples such that sample X in cohort A will have the same results as the same sample X in cohort B.
I have previously run dada2 (stand alone) on cohort A and cohort B and am now running the results through lotus2 lambda -taxOnly. Ive pulled the ASV taxonomy assignment for sample X in both cohorts and while the identified ASVs and counts are the same, the taxonomy results are different.
Do you know why the taxonomy of ASVs in sample X change dependent on which cohort the sample is in?
Apologies is this amounts to me not understanding lambda sufficiently!
The text was updated successfully, but these errors were encountered: