Prediction, quantification and visualization of alternative
transcript events from RNA-seq data
Description
RNA-seq data are informative for the analysis of known and
novel transcript isoforms. While the short length of RNA-seq
reads limits the ability to predict and quantify full-length
transcripts, short read data are well suited for the analysis
of individual alternative transcripts events (e.g. inclusion
or skipping of a cassette exon). The SGSeq package enables the
prediction, quantification and visualization of alternative
transcript events from BAM files.