Analysis of transcriptome complexity through RNA sequencing in normal and failing murine hearts.

ABSTRACT:

Rationale

Accurate and comprehensive de novo transcriptome profiling in heart is a central issue to better understand cardiac physiology and diseases. Although significant progress has been made in genome-wide profiling for quantitative changes in cardiac gene expression, current knowledge offers limited insights to the total complexity in cardiac transcriptome at individual exon level.

Objective

To develop more robust bioinformatic approaches to analyze high-throughput RNA sequencing (RNA-Seq) data, with the focus on the investigation of transcriptome complexity at individual exon and transcript levels.

Methods and results

In addition to overall gene expression analysis, the methods developed in this study were used to analyze RNA-Seq data with respect to individual

SUBMITTER: Lee JH 

PROVIDER: S-EPMC3243366 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature