Expanding Visualization and Analysis Tools for Comparative Microbial Ecology

扩展比较微生物生态学的可视化和分析工具

• 批准号: 0960626
• 负责人: Susan Huse
• 金额: $ 76.98万
• 依托单位: Marine Biological Laboratory
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0960626&HistoricalAwards=false
• 关键词: Expanding; Visualization; Analysis; Tools; Comparative

The Marine Biological Laboratory (MBL) is awarded a grant to improve and develop database-driven web-based tools for analysis and comparison of microbial communities for microbial ecologists. Next-generation DNA sequencing technologies allow ecologists to explore microbial communities at depths much greater than ever before uncovering new organisms faster than names can be given and accepted. The alternative taxonomic-independent approach of clustering similar DNA sequences using regions of the SSU rRNA gene is now standard for microbial ecology. The website will provide a variety of tools to allow researchers to upload and cluster massively-parallel tag sequence data and will provide a new clustering algorithm incorporating known information about sequencing error rates, rates of evolution, and information about community structure. Specifically, it will offer: (i) direct import of massively-parallel sequences of any targeted gene and taxonomic identification of sequences from any region of the ribosomal small-subunit gene; (ii) dynamic sequence-based clustering using a variety of methods, including a new method to be developed incorporating experimental and biological variables that does not inflate diversity values; and (iii) improved tools for comparing microbial communities that links sequence-based clusters to taxonomy and metadata. The website will be freely available, and all software will be open source and, to the extent possible, platform independent. Next-generation sequencing provides far more data than many researchers have the bioinformatics capacity to handle. The VAMPS website (vamps.mbl.edu) has already proven invaluable in aiding research teams from around the world, including NSF-funded research projects, by providing the bioinformatics support, database engine, and computational resources needed to analyze these very large and growing datasets, and by providing the only publicly-available interface for visually comparing microbial community information derived from environmental sequencing. In collaboration with the MBL's graduate and postdoctoral level Microbial Diversity summer course and undergraduate Semester in Environmental Science, this project will provide unique educational opportunities through its combination of data from a variety of environments, metadata associated with the International Census of Marine Microbes datasets, its integration of sequence cluster-based and taxonomy-based analytical and visualization tools, and the instruction provided by project developers.

海洋生物实验室（MBL）获得了一笔赠款，用于改进和开发数据库驱动的基于网络的工具，为微生物生态学家分析和比较微生物群落。下一代DNA测序技术使生态学家能够比以往任何时候都更深入地探索微生物群落，发现新的生物体的速度比命名和接受的速度要快得多。使用SSU rRNA基因区域聚类相似DNA序列的另一种独立分类学方法现在是微生物生态学的标准。该网站将提供各种工具，使研究人员能够上传和聚类大规模并行标签序列数据，并将提供一种新的聚类算法，其中包含有关测序错误率、进化率和社区结构信息的已知信息。具体来说，它将提供：(i)直接导入任何目标基因的大量平行序列和核糖体小亚基基因任何区域序列的分类鉴定；（ii）使用多种方法的动态序列聚类，包括一种将实验和生物变量结合起来的新方法，该方法不会夸大多样性值；（iii）改进的微生物群落比较工具，将基于序列的集群与分类和元数据联系起来。该网站将免费提供，所有软件将是开源的，并在可能的程度上，独立于平台。下一代测序提供的数据远远超过许多研究人员的生物信息学能力。VAMPS网站（vamps.mbl.edu）通过提供生物信息学支持、数据库引擎和计算资源来分析这些非常庞大和不断增长的数据集，并提供唯一公开的界面来直观地比较从环境测序中获得的微生物群落信息，已经证明了它在帮助来自世界各地的研究团队（包括nsf资助的研究项目）方面的宝贵价值。通过与MBL的研究生和博士后微生物多样性暑期课程以及环境科学本科学期的合作，该项目将通过结合来自各种环境的数据、与国际海洋微生物普查数据集相关的元数据、基于序列聚类和基于分类学的分析和可视化工具的集成，提供独特的教育机会。以及项目开发人员提供的说明。