REDItools：轻松实现高通量 RNA 编辑检测。
REDItools: high-throughput RNA editing detection made easy.
机构信息
Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, 70125 Bari, Italy.
出版信息
Bioinformatics. 2013 Jul 15;29(14):1813-4. doi: 10.1093/bioinformatics/btt287. Epub 2013 Jun 5.
SUMMARY
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.
AVAILABILITY AND IMPLEMENTATION
REDItools are in python programming language and freely available at http://code.google.com/p/reditools/.
CONTACT
ernesto.picardi@uniba.it or graziano.pesole@uniba.it
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
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。
可用性和实现
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。
联系方式
ernesto.picardi@uniba.it 或 graziano.pesole@uniba.it
补充信息
补充数据可在 Bioinformatics 在线获得。
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