NEWS.md
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.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.