assignRanges
that takes
either "range" (default) or "abundant", and determines
the ranges that are attached to the SE (rowRanges).
Note that this new argument does not affect the data aggregation
at all (counts and abundance are summarized to gene by tximport
).
The default behavior of summarizeToGene() returns ranges that
correspond to the range
of the isoforms of the gene, that is the
leftmost basepair to the rightmost basepair of any isoform.
The non-default "abundant" instead returns the range of the
most abundant isoform in the data, averaging over samples.
Information about the choice of range is included in mcols
type="piscem"
also
auto-detected from file ending.type="piscem"
also
auto-detected from file ending.splitSE
to split one assay of a
SummarizedExperiment into multiple assays, each containing
features of a given type.customMetaInfo
argument to locate
a custom metadata information file such as meta_info.json
,
which should contain a tage, index_seq_hash
, with the SHA-256
hash value of the reference transcripts.markDuplicateTxps
argument to add hasDuplicate
and duplicates
columns to rowData of SummarizedExperiment.
One note is that, for efficiency, this argument and
cleanDuplicateTxps
will now share a duplicates CharacterList
that is stored in the BiocFileCache, with the name dups-...
.
Therefore, if you have previously used cleanDuplicateTxps
,
you may need to bfcremove() any dups-...
entries.
Summarization to gene level will keep track of numDupSets
per gene which informs about the number of transcripts sets
(equivalence classes by transcript sequence content).|
, in order to match long transcript names
in the quant.sf
files to the correct transcript names
in the GTF.Add the following code to your website.
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