Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
Tax4Fun2: a R-based tool for the rapid prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene marker gene sequences
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DOI：
10.1101/490037
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
F. Wemheuer;Jessica A. Taylor;R. Daniel;E. Johnston;P. Meinicke;T. Thomas;B. Wemheuer
中科院分区：
文献类型：
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作者：
F. Wemheuer;Jessica A. Taylor;R. Daniel;E. Johnston;P. Meinicke;T. Thomas;B. Wemheuer
评估微生物群落的功能和冗余是环境微生物学的主要挑战。为了应对这一挑战，我们开发了 Tax4Fun2，这是一种基于 R 的工具，用于根据 16S rRNA 基因序列快速预测原核生物群落的功能概况和功能冗余。通过整合用户定义的、特定栖息地的基因组信息，可以大大增强预测功能图谱的准确性和稳健性。
Assessing the functional capability and redundancy of a microbial community is a major challenge in environmental microbiology. To address this challenge, we developed Tax4Fun2, a R-based tool for the rapid prediction of functional profiles and functional redundancy of prokaryotic communities from 16S rRNA gene sequences. By incorporating user-defined, habitat-specific genomic information, the accuracy and robustness of predicted functional profiles can be substantially enhanced.