TIN: An R Package for Transcriptome Instability Analysis

TIN: An R Package for Transcriptome Instability Analysis

Blog Article

Alternative splicing read more is a key regulatory mechanism for gene expression, vital for the proper functioning of eukaryotic cells.Disruption of normal pre-mRNA splicing has the potential to cause and reinforce human disease.Owing to rapid advances in high-throughput technologies, it is now possible to identify novel mRNA isoforms and detect aberrant splicing patterns on a genome scale, across large data sets.Analogous to the genomic types of instability describing cancer genomes (eg, chromosomal instability and microsatellite instability), transcriptome instability (TIN) has recently been proposed as a splicing-related genome-wide characteristic of certain solid cancers.

We present the R package TIN, available from Bioconductor, which implements a set of methods for flex 4 heartworm test TIN analysis based on exon-level microarray expression profiles.TIN provides tools for estimating aberrant exon usage across samples and for analyzing correlation patterns between TIN and splicing factor expression levels.