Integrated detection of natural antisense transcripts using strand-specific RNA sequencing data
Pairs of RNA molecules transcribed from partially or entirely complementary loci are called cis-natural antisense transcripts (cis-NATs), and they play key roles in the regulation of gene expression in many organisms. A promising experimental tool for profiling sense and antisense transcription is strand-specific RNA sequencing (ssRNA-seq). To identify cis-NATs using ssRNA-seq, we developed a new computational method based on model comparison that incorporates the inherent variable efficiency of generating perfectly strand-specific libraries. Applying the method to new ssRNA-seq data from whole root and cell-type specific Arabidopsis libraries confirmed most of the known cis-NAT pairs and identified hundreds of additional cis-NAT pairs.
Song Li, Louisa Liberman, Neelanjan Mukherjee, Philip N. Benfey, Uwe Ohler. (2013). Integrated detection of natural antisense transcripts using strand-specific RNA sequencing data. Genome Research.
R version '2.15.2' or higher. R is a free and popular statistical software that can be downloaded here.
DESeq version '1.10.1'. DESeq is a bioconductor package for count data analysis using negative bionomial distribution. To install DESeq, follow the instruction here.
ROCR version '1.0.2'. ROCR is an R package for classifier visualization. Download ROCR here
- Download and install the required R, ROCR and DESeq package.
- Download the source code for NASTIseq from the link above.
In the directory where you downloaded the source code, simply type "R CMD INSTALL NASTIseq_1.0.tar.gz".
Or within an active R session, type:
From the pull-down menu, click on "Packages->Install Packages from local zip file", and then select the downloaded file NASTIseq_1.0.zip
NASTISeq is part of the Berlin RNA toolbox.
The source code can be found on github: https://github.com/bgruening/galaxytools/tree/master/tools/rna_tools/nastiseq
and as part of the bioconda libarby: https://anaconda.org/bioconda/r-nastiseq