ReadXplorer 2—detailed read mapping analysis and visualization from one single source

• DOI: 10.1093/bioinformatics/btw541
• Publication Date: 2016-08-19T01:19:13Z
• Authors: Rolf Hilker; Kai Bernd Stadermann; Oliver Schwengers; Evgeny Anisiforov; Sebastian Jaenicke; Bernd Weisshaar; Tobias Zimmermann; Alexander Goesmann
• Keywords: Normalization; Data mapping

Motivation: The vast amount of already available and currently generated read mapping data requires comprehensive visualization, should benefit from bioinformatics tools offering a wide spectrum analysis functionality just one source. Appropriate handling multiple mapped reads during analyses remains an issue that demands improvement. Results: capabilities the visualization tool ReadXplorer were vastly enhanced. Here, we present even finer granulated classification, improving level detail for visualizations. automatic functions has been broadened to include genome rearrangement detection as well correlation between two sets. Existing refined enhanced, namely computation differentially expressed genes, count normalization transcription start site detection. Additionally, 2 features highly improved support large eukaryotic sets command line version, enabling its integration into workflows. Finally, new version is now able display any kind tabular results other tools. Availability Implementation: http://www.readxplorer.org Contact: [e-mail] Supplementary information: are at Bioinformatics online.