SpliceJumper: a classification-based approach for calling splicing junctions from RNA-seq data.

ABSTRACT:

Background

Next-generation RNA sequencing technologies have been widely applied in transcriptome profiling. This facilitates further studies of gene structure and expression on the genome wide scale. It is an important step to align reads to the reference genome and call out splicing junctions for the following analysis, such as the analysis of alternative splicing and isoform construction. However, because of the existence of introns, when RNA-seq reads are aligned to the reference genome, reads can not be fully mapped at splicing sites. Thus, it is challenging to align reads and call out splicing junctions accurately.

Results

In this paper, we present a classification based approach for calling splicing junctions from RNA-seq data, which is implemented in the program Splic

SUBMITTER: Chu C 

PROVIDER: S-EPMC4674845 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature