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PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds

机译:PerM:使用定期的全敏感间隔种子有效地映射短测序读数

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MOTIVATION: The explosion of next-generation sequencing data has spawned the design of new algorithms and software tools to provide efficient mapping for different read lengths and sequencing technologies. In particular, ABI's sequencer (SOLiD system) poses a big computational challenge with its capacity to produce very large amounts of data, and its unique strategy of encoding sequence data into color signals. RESULTS: We present the mapping software, named PerM (Periodic Seed Mapping) that uses periodic spaced seeds to significantly improve mapping efficiency for large reference genomes when compared with state-of-the-art programs. The data structure in PerM requires only 4.5 bytes per base to index the human genome, allowing entire genomes to be loaded to memory, while multiple processors simultaneously map reads to the reference. Weight maximized periodic seeds offer full sensitivity for up to three mismatches and high sensitivity for four and five mismatches while minimizing the number random hits per query, significantly speeding up the running time. Such sensitivity makes PerM a valuable mapping tool for SOLiD and Solexa reads. AVAILABILITY: http://code.google.com/p/perm/
机译:动机:下一代测序数据的激增催生了新算法和软件工具的设计,这些算法和软件工具可为不同的读取长度和测序技术提供有效的映射。尤其是,ABI的定序器(SOLiD系统)以其产生大量数据的能力以及将序列数据编码为彩色信号的独特策略带来了巨大的计算挑战。结果:我们提供了一种映射软件,称为PerM(周期性种子映射),与最新程序相比,该软件使用周期性间隔的种子可以显着提高大型参考基因组的映射效率。 PerM中的数据结构每个碱基仅需要4.5个字节即可索引人类基因组,从而允许将整个基因组加载到内存中,而多个处理器同时将读取映射到参考。权重最大化的定期种子可为多达三个不匹配项提供完全灵敏度,并为四个和五个错配率提供高灵敏度,同时最大程度地减少每个查询的随机匹配次数,从而大大缩短了运行时间。这种敏感性使PerM成为SOLiD和Solexa读取的重要映射工具。可用性:http://code.google.com/p/perm/

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