Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, 70125 Bari, Italy.
Bioinformatics. 2013 Jul 15;29(14):1813-4. doi: 10.1093/bioinformatics/btt287. Epub 2013 Jun 5.
The reliable detection of RNA editing sites from massive sequencing data remains challenging and, although several methodologies have been proposed, no computational tools have been released to date. Here, we introduce REDItools a suite of python scripts to perform high-throughput investigation of RNA editing using next-generation sequencing data.
REDItools are in python programming language and freely available at http://code.google.com/p/reditools/.
ernesto.picardi@uniba.it or graziano.pesole@uniba.it
Supplementary data are available at Bioinformatics online.
从大量测序数据中可靠地检测 RNA 编辑位点仍然具有挑战性，尽管已经提出了几种方法，但迄今为止还没有发布计算工具。在这里，我们介绍了 REDItools，这是一套用于使用下一代测序数据进行 RNA 编辑高通量研究的 Python 脚本。
REDItools 是用 Python 编程语言编写的，可以在 http://code.google.com/p/reditools/ 上免费获得。
ernesto.picardi@uniba.it 或 graziano.pesole@uniba.it
补充数据可在 Bioinformatics 在线获得。
