Department of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, Canada.
J Microbiol Methods. 2010 Nov;83(2):250-3. doi: 10.1016/j.mimet.2010.08.008. Epub 2010 Aug 27.
V-Xtractor (http://www.cmde.science.ubc.ca/mohn/software.html) uses Hidden Markov Models to locate, verify, and extract defined hypervariable sequence segments (V1-V9) from bacterial, archaeal, and fungal small-subunit rRNA sequences. With a detection efficiency of 99.6% and low susceptibility to false-positives, this tool refines data reliability and facilitates subsequent analysis in community assays.
V-Xtractor(http://www.cmde.science.ubc.ca/mohn/software.html)使用隐马尔可夫模型来定位、验证和提取细菌、古菌和真菌小亚基 rRNA 序列中的定义超变序列片段(V1-V9)。该工具具有 99.6%的检测效率和低假阳性率,可提高数据可靠性,并在群落分析中促进后续分析。