Janus—a comprehensive tool investigating the two faces of transcription
Barann, Matthias ; Esser, Daniela ; Klostermeier, Ulrich C. ; Lappalainen, Tuuli ; Luzius, Anne ; Kuiper, Jan W. P. ; Ammerpohl, Ole ; Vater, Inga ; Siebert, Reiner ; Amstislavskiy, Vyacheslav ; Sudbrak, Ralf ; Lehrach, Hans ; Schreiber, Stefan ; Rosenstiel, Philip
In: Bioinformatics, 2013, vol. 29, no. 13, p. 1600-1606
Add to personal list- Summary
- Motivation: Protocols to generate strand-specific transcriptomes with next-generation sequencing platforms have been used by the scientific community roughly since 2008. Strand-specific reads allow for detection of antisense events and a higher resolution of expression profiles enabling extension of current transcript annotations. However, applications making use of this strandedness information are still scarce. Results: Here we present a tool (Janus), which focuses on the identification of transcriptional active regions in antisense orientation to known and novel transcribed elements of the genome. Janus can compare the antisense events of multiple samples and assigns scores to identify mutual expression of either transcript in a sense/antisense pair, which could hint to regulatory mechanisms. Janus is able to make use of single-nucleotide variant (SNV) and methylation data, if available, and reports the sense to antisense ratio of regions in the vicinity of the identified genetic and epigenetic variation. Janus interrogates positions of heterozygous SNVs to identify strand-specific allelic imbalance. Availability: Janus is written in C/C++ and freely available at http://www.ikmb.uni-kiel.de/janus/janus.html under terms of GNU General Public License, for both, Linux and Windows 64×. Although the binaries will work without additional downloads, the software depends on bamtools (https://github.com/pezmaster31/bamtools) for compilation. A detailed tutorial section is included in the first section of the supplemental material and included as brief readme.txt in the tutorial archive. Contact: m.barann@mucosa.de or p.rosenstiel@mucosa.de Supplementary information: Supplementary data are available at Bioinformatics online