Janus - a comprehensive tool investigating the two faces of transcription
Janus - a comprehensive tool investigating the two faces of transcription
复制标题
Janus - 研究转录两个方面的综合工具
DOI:
10.1093/bioinformatics/btt185
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发表时间:
2013
期刊:
影响因子:
5.8
通讯作者:
Rosenstiel P.
中科院分区:
文献类型:
--
作者:
Barann M;Esser D;Klostermeier U.C;Lappalainen T;Luzius A;Kuiper J.W;Ammerpohl O;Vater I;Siebert R;Amstislavskiy V;Sudbrak R;Lehrach H;Schreiber S;Rosenstiel P.
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.Januscan 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.Janusis 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.Janusinterrogates positions of heterozygous SNVs to identify strand-specific allelic imbalance.Availability:Janusis 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.deSupplementary information:Supplementary data are available atBioinformaticsonline.
DOI:
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发表时间:
2009
期刊:
影响因子:
--
作者:
Plutarch;Claes Lindskog;K. Ziegler
通讯作者:
K. Ziegler
影响因子:
82.9
作者:
Lamprecht, Bjoern;Walter, Korden;Mathas, Stephan
通讯作者:
Mathas, Stephan
DOI:
10.3410/b1-33
发表时间:
2009-04-29
期刊:
F1000 biology reports
影响因子:
--
作者:
Layer JH;Weil PA
通讯作者:
Weil PA