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MLTreeMap - accurate Maximum Likelihood placement of environmental DNA sequences into taxonomic and functional reference phylogenies

机译:MLTreeMap-将环境DNA序列准确分类到分类和功能参考系统发育树中的最大可能性

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Background Shotgun sequencing of environmental DNA is an essential technique for characterizing uncultivated microbes in situ. However, the taxonomic and functional assignment of the obtained sequence fragments remains a pressing problem. Results Existing algorithms are largely optimized for speed and coverage; in contrast, we present here a software framework that focuses on a restricted set of informative gene families, using Maximum Likelihood to assign these with the best possible accuracy. This framework ('MLTreeMap'; http://mltreemap.org/ webcite ) uses raw nucleotide sequences as input, and includes hand-curated, extensible reference information. Conclusions We discuss how we validated our pipeline using complete genomes as well as simulated and actual environmental sequences.
机译:背景技术环境DNA的Shot弹枪测序是用于原位表征未培养微生物的一项必不可少的技术。然而,获得的序列片段的分类和功能分配仍然是一个紧迫的问题。结果现有算法在速度和覆盖范围上都进行了优化。相比之下,我们在这里介绍一个软件框架,该框架专注于有限的信息基因家族集,使用最大似然来尽可能精确地分配这些家族。这个框架('MLTreeMap'; http://mltreemap.org/ webcite)使用原始核苷酸序列作为输入,并包括手工编写的可扩展参考信息。结论我们讨论了如何使用完整的基因组以及模拟和实际的环境序列来验证管道。

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