SHOGUN: a modular, accurate and scalable framework for microbiome quantification
Benjamin Hillmann, Gabriel A. Al‐Ghalith, Robin R. Shields‐Cutler, Qiyun Zhu, Rob Knight, Dan Knights
University of Minnesota University of California San Diego
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
SUMMARY: The software pipeline SHOGUN profiles known taxonomic and gene abundances of short-read shotgun metagenomics sequencing data. The pipeline is scalable, modular and flexible. Data analysis and transformation steps can be run individually or together in an automated workflow. Users can easily create new reference databases and can select one of three DNA alignment tools, ranging from ultra-fast low-RAM k-mer-based database search to fully exhaustive gapped DNA alignment, to best fit their analysis needs and computational resources. The pipeline includes an implementation of a published method for taxonomy assignment disambiguation with empirical Bayesian redistribution. The software is installable via the conda resource management framework, has plugins for the QIIME2 and QIITA packages and produces both taxonomy and gene abundance profile tables with a single command, thus promoting convenient and reproducible metagenomics research. AVAILABILITY AND IMPLEMENTATION: https://github.com/knights-lab/SHOGUN.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Genomics and Phylogenetic Studies
Environmental DNA in Biodiversity Studies · Microbial Community Ecology and Physiology
参考文献 14
此处列出前 3 条
引用本文 65
按被引量排序,此处列出前 3 条