MiCA:基于16S rRNA基因T-RFLP分析微生物群落结构和组成的基于网络的计算工具

Conrad Shyu, J. Foster, K. Liao, S. Bent, K. Sale, L. Forney, Terence Soule
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引用次数: 2

摘要

基于16S rRNA末端限制性片段长度多态性(T-RFLP)的微生物群落结构分析由于缺乏辅助实验设计和大型数据集存档和分析所需的计算工具而受到阻碍。本研究的目的是开发一套基于网络的工具,使研究人员能够执行以下任务,包括:(a)对公共数据库中发现的16S rRNA基因序列进行PCR扩增和限制;(b)在Oracle关系数据库中自动检索数据和归档存储;(c)使用不同引物-酶组合从单个样品中获得的多个T-RFLP谱图的比较;(d) T-RFLP数据的统计分析和基于相似性和差异性的样本聚类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MiCA: web-based computational tools for the analysis of microbial community structure and composition based on T-RFLP of 16S rRNA genes
Analyses of microbial community structure based on terminal restriction fragment length polymorphisms (T-RFLP) of 16S rRNA genes are hindered by the lack of computational tools needed to aid experimental design, and to archive and analyze large data sets. The aim of this research was to develop a suite of Web-based tools that would enable researchers to perform several tasks, including: (a) in silico PCR amplification and restriction of 16S rRNA gene sequences found in public databases; (b) automatic retrieval of data and archival storage in an Oracle relational database; (c) comparison of multiple T-RFLP profiles obtained from a single sample using different primer-enzyme combinations; and (d) statistical analysis of T-RFLP data and clustering of samples based on similarities and differences.
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