… in scRNA-seq data, eg seemingly mono-isoform pattern [14], … be a useful addition to the
scRNA-seq analysis toolkit, it does … By default in brie-quant, we filter out events with (1) less than …

… noise in scRNA-seq data, eg, seemingly mono-isoform pattern … be a useful addition to the
scRNA-seq analysis toolkit, it does … By default in brie-quant, we filter out events with 1) less than …

… exons, making it possible to detect splicing events even when … , we analyzed both simulated
and real scRNA-seq datasets … for DAS analysis, we pre-process sorted isoform annotation …

… Census [12], BRIE [13], … data from the BRAIN Initiative Cell Census Network (BICCN) [23]—spanning
a broad range of mouse tissues. We find strong signals of cell-type-specific splicing …

… isoforms between these clusters, we subsequently detect … of splicing event—rather than
isoform expression- modalities. … of our knowledge- no scRNA-seq data simulators that include …

… developed BRIE and BRIE2 [22, 23], which use Bayesian … pairwise to detect differentially
spliced CEs between all pairs … cell type specific pattern of isoform switching for both the Gria …

… analyzed isoform usage at the exon level for scRNA-seq data. … -specific gene transfer file
(GTF) using StringTie2 (37). When … in BRIE was used to detect alternative splicing events from …

… scRNA- seq setting and apply it to our Smart- seq2 intron quantification. Namely, due to the
sparse nature of scRNA- seq splicing data… of isoforms, and we find that most differential splice …

… splicing (AS) enables genes to generate multiple isoforms … of islet cells based on the active
regulons detected by SCENIC. D, … BRIE: transcriptome-wide splicing quantification in single …

… prospects of utilizing scRNA-seq data to detect and quantify … the same isoforms and accounting
for technical noise, using … BRIE: transcriptome-wide splicing quantification in single cells. …