Description Usage Arguments Details Value Examples
This function collapses isomiRs into different groups. It is a similar
concept than how to work with gene isoforms. With this function,
different changes can be put together into a single miRNA variant.
For instance all sequences with variants at 3' end can be
considered as different elements in the table
or analysis having the following naming
hsa-miR-124a-5p.iso.t3:AAA
.
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ids |
Object of class IsomirDataSeq. |
ref |
Differentiate reference miRNA from rest. |
iso5 |
Differentiate trimming at 5 miRNA from rest. |
iso3 |
Differentiate trimming at 3 miRNA from rest. |
add |
Differentiate additions miRNA from rest. |
snv |
Differentiate nt substitution miRNA from rest. |
seed |
Differentiate changes in 2-7 nts from rest. |
all |
Differentiate all isomiRs. |
minc |
Int minimum number of isomiR sequences to be included. |
mins |
Int minimum number of samples with number of
sequences bigger than |
merge_by |
Column in coldata to merge samples into a single column in counts. Useful to combine technical replicates. |
You can merge all isomiRs into miRNAs by calling the function only
with the first parameter isoCounts(ids)
.
You can get a table with isomiRs altogether and
the reference miRBase sequences by calling the function with ref=TRUE
.
You can get a table with 5' trimming isomiRS, miRBase reference and
the rest by calling with isoCounts(ids, ref=TRUE, iso5=TRUE)
.
If you set up all parameters to TRUE, you will get a table for
each different sequence mapping to a miRNA (i.e. all isomiRs).
Examples for the naming used for the isomiRs are at http://seqcluster.readthedocs.org/mirna_annotation.html#mirna-annotation.
IsomirDataSeq object with new count table.
The count matrix can be access with counts(ids)
.
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