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Hi, I'm currently working on a project in which we sequenced Extraction Blanks and a Mock Community as our negative and positive controls, respectively, for our data set. I have been trying to determine how to utilize these controls in my data analysis.
NEGATIVE CONTROL
I recently came across the paper "Parsing ecological signal from noise in next generation amplicon sequencing" (Nguyen et. al., 2015) which discussed how to deal with negative controls. One method discussed in the paper is to completely remove the ASVs found within the negative control. Doing so however would remove some of the most abundant ASVs in many of my samples. Another method discussed in the paper was to just remove the abundance of ASVs found within the Extraction Blank across all samples. I figured this would be worth trying however I am unsure as to how to subtract phyloseq objects from each other. I did see the thread on how to remove the ASV completely but Im specifically interested in subtracting out the abundance of the ASVs seen in the Extraction Blank, not removing the entire ASV itself.
POSITIVE CONTROL
I am still thinking about how to utilize our positive control within our data however the most pressing issue at the moment is subtracting out the abundance of the extraction blank ASVs across the board. I have heard about using the positive control to determine a cutoff under which ASVs should not be considered however I need to do more digging and understanding to attempt it. Any help would be appreciated! Thanks!
The text was updated successfully, but these errors were encountered:
How many negative controls do you have? Do you have DNA quantitation data (e.g. Picogreen values) for the samples? If multiple negative controls and/or DNA quantitation data, I'd recommend the decontam method for identifying and removing contaminants: https://www.biorxiv.org/content/early/2018/07/25/221499
I only have 1 negative control in this data set. We pooled 5 of our extraction blanks and had that sequenced as one sample. We do have quantitation data for the samples. I will go ahead and try the suggested decontam method for identifying and removing contaminants. Thanks for the reply!
Hi, I'm currently working on a project in which we sequenced Extraction Blanks and a Mock Community as our negative and positive controls, respectively, for our data set. I have been trying to determine how to utilize these controls in my data analysis.
NEGATIVE CONTROL
I recently came across the paper "Parsing ecological signal from noise in next generation amplicon sequencing" (Nguyen et. al., 2015) which discussed how to deal with negative controls. One method discussed in the paper is to completely remove the ASVs found within the negative control. Doing so however would remove some of the most abundant ASVs in many of my samples. Another method discussed in the paper was to just remove the abundance of ASVs found within the Extraction Blank across all samples. I figured this would be worth trying however I am unsure as to how to subtract phyloseq objects from each other. I did see the thread on how to remove the ASV completely but Im specifically interested in subtracting out the abundance of the ASVs seen in the Extraction Blank, not removing the entire ASV itself.
POSITIVE CONTROL
I am still thinking about how to utilize our positive control within our data however the most pressing issue at the moment is subtracting out the abundance of the extraction blank ASVs across the board. I have heard about using the positive control to determine a cutoff under which ASVs should not be considered however I need to do more digging and understanding to attempt it. Any help would be appreciated! Thanks!
The text was updated successfully, but these errors were encountered: