Multivariate analysis and visualization of splicing correlations in single-gene transcriptomes.

ABSTRACT:

Background

RNA metabolism, through 'combinatorial splicing', can generate enormous structural diversity in the proteome. Alternative domains may interact, however, with unpredictable phenotypic consequences, necessitating integrated RNA-level regulation of molecular composition. Splicing correlations within transcripts of single genes provide valuable clues to functional relationships among molecular domains as well as genomic targets for higher-order splicing regulation.

Results

We present tools to visualize complex splicing patterns in full-length cDNA libraries. Developmental changes in pair-wise correlations are presented vectorially in 'clock plots' and linkage grids. Higher-order correlations are assessed statistically through Monte Carlo analysis of a log-linear model

SUBMITTER: Emerick MC 

PROVIDER: S-EPMC1785386 | biostudies-literature | 2007 Jan

REPOSITORIES: biostudies-literature