Font size: Increase font size Decrease font size Switch style sheet from default to highcontrast and back

TSSAR: Transcription Start Site Annotation Regime Web Service

TSSAR is a Web Service for predicting bacterial Transcription Start Sites from dRNA-seq data. It is built on a RESTful Client/Server architecture that allows for rapid screening and processing of Next-Generation Sequencing data.

Overview

The TSSAR Web Service consists of three major parts which gear into each other. The first step in a TSSAR analysis of dRNA-seq data is pre-processing with the platform-independent TSSAR Client. This program extracts the relevant information from your mapped sequencing reads and transmits them to the TSSAR Server. The Web Server then applies the appropriate analysis steps, among them the TSSAR Statistical Model, to your data. Eventually, you will be notified by email (if an email address has been supplied during data submission) once the computation is finished.

Below, please find for each of the steps a short introduction how to use it. You might want to start with TSSAR Java Client. For a quick start please visit the TSSAR Workflow page.

TSSAR Puzzle
Schematic representation of the three major TSSAR components: The TSSAR Client is used for pre-processing mapped dRNA-seq data locally and transmitting the needed information to the TSSAR Web Server. All computational steps are performed there, based on the TSSAR Statistics.
Get TSSAR client
TSSAR Paper

"TSSAR: TSS Annotation Regime for dRNA-seq data" F. Amman, M.T. Wolfinger, R. Lorenz, I.L. Hofacker, P.F. Stadler and S. Findeiß - BMC Bioinformatics, 2014 15:89 doi:10.1186/1471-2105-15-89

TSSAR Poster

Presented at the 3rd International Conference on Regulating with RNA in Bacteria, Würzburg - Germany (2013). Download as [PDF]

If TSSAR is useful for your work or if you use any figures or data procuced by TSSAR, please cite the original TSSAR publication: "TSSAR: TSS Annotation Regime for dRNA-seq data" F. Amman, M.T. Wolfinger, R. Lorenz, I.L. Hofacker, P.F. Stadler and S. Findeiß BMC Bioinformatics 2014 15:89 doi:10.1186/1471-2105-15-89 - Contact: [email protected]