From e9b353f6d52577600ef5b29efffd3616cf5301ac Mon Sep 17 00:00:00 2001
From: Heli Juottonen Select the file In the column Create new columns called Getting the data into
phyloseq
file.opti_mcc.shared
and in the
Selected files choose the tab Phenodata.description
, write the sample names as
+you want them to appear in result plots. For example, HPc1,
+HPc2 etc.site
and
-bagging
by clicking + Add column
.bagging
by clicking + Add column
. You delete
+the column chiptype
or adjust the width of the columns to
+make space if necessary.
Check how the sample names in the column sample
start, and based on this enter the site codes HP
and
KEK
in the column site
. Next, check the
@@ -878,9 +883,9 @@
phyloseq
ps
, fill in bagged
in the column
bagging
.Check that your filled in phenodata table matches the example -below.
- +Check that your filled in phenodata table matches the example below +(especially the last two columns).
+Step 18. Producing a phyloseq
object
Finally! 😄 We are done with pre-processing and ready to convert our @@ -983,8 +988,8 @@
This will produce a file called ps_relabund.Rda
. Select
it and run the OTU relative abundance bar plots
tool,
-making sure that you have the Sample
column selected in
-Phenodata variable with sequencing sample IDs
. There are
+making sure that you have the description
column selected
+in Phenodata variable with sequencing sample IDs
. There are
quite a few other parameters here that you can also modify. Feel free to
play around with the options but start with these:
Selecting the resulting file ps_clr.Rda
, run the
Distance matrices and ordinations
tool. Once again, one
must specify a column in the phenodata with unique IDs for each sample
-(i.e. the Sample
column). There are options for Euclidean
-and Bray-Curtis distances - choose Euclidean and for the ordination
-type, select nMDS. Also colour the ordination points by choosing
-site
in
+(i.e. the description
column). There are options for
+Euclidean and Bray-Curtis distances - choose Euclidean and for the
+ordination type, select nMDS. Also colour the ordination points by
+choosing site
in
Phenodata variable for grouping ordination points by colour
and define the shape by choosing bagging
in
Phenodata variable for grouping ordination points by shape
.
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