TALENoffer: genome-wide TALEN off-target prediction
TALENoffer: genome-wide TALEN off-target prediction
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DOI：
10.1093/bioinformatics/btt501
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发表时间：
2013-11-15
期刊：
影响因子：
5.8
通讯作者：
Posch, Stefan
中科院分区：
文献类型：
--
作者：
Grau, Jan;Boch, Jens;Posch, Stefan
转录激活因子样效应物核酸酶（TALEN）已成为靶向诱变的公认工具，但不希望的脱靶仍然是一个重要问题。我们提出了TALENoffer，这是一种用于全基因组预测TALEN脱靶的新工具。我们表明，TALENoffer成功地预测了已知的工程TALEN脱靶，并产生了有竞争力的运行时间，在几分钟内扫描完整的哺乳动物基因组。
Transcription activator-like effector nucleases (TALENs) have become an accepted tool for targeted mutagenesis, but undesired off-targets remain an important issue. We present TALENoffer, a novel tool for the genome-wide prediction of TALEN off-targets. We show that TALENoffer successfully predicts known off-targets of engineered TALENs and yields a competitive runtime, scanning complete mammalian genomes within a few minutes.