(high-temp) No 3. Filtering: (16S rRNA/ITS) Output
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Output files from the No 3. Filtering Workflow page of the SWELTR high-temp study. ASV filtering for 16S rRNA & ITS using a) Arbitrary filtering, b) PERFect (PERmutation Filtering test for microbiome data), and c) PIME (Prevalence Interval for Microbiome Evaluation) Workflow objects:filtering_wf.rdata: contains all variables and phyloseq objects from 16s rRNA and ITS ASV filtering. To see the Objects, in R run load("filtering_wf.rdata", verbose=TRUE)Additional files:For convenience, we also include individual phyloseq objects for each filtered data set.Arbitrary: ssu18_ps_filt.rds: phyloseq object for Arbitrary filtered 16S rRNA ASVs.its18_ps_filt.rds: phyloseq object for Arbitrary filtered ITS ASVs.PERfect:ssu18_ps_perfect.rds: phyloseq object for PERfect filtered 16S rRNA ASVs.its18_ps_perfect.rds: phyloseq object for PERfect filtered ITS ASVs.PIME: ssu18_ps_pime.rds: phyloseq object for PIME filtered 16S rRNA ASVs.its18_ps_pime.rds: phyloseq object for PIME filtered ITS ASVs.Source code for the workflow can be found here:https://github.com/sweltr/high-temp/blob/master/filtering.Rmd
创建时间:
2022-05-06



