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Clustering Analysis of Proteins from Microbial Genomes at Multiple Levels of Resolution

机译:微生物基因组蛋白质在多个分辨率水平上的聚类分析

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Microbial genomes at NCBI represent a large collection containing almost 30,000 genomes from more than 5,000 species. The quality and sampling density of the bacterial genome assemblies vary greatly: human pathogens are densely sampled while other bacteria are less represented. The variation in frequency of occurrences of different proteins in genome annotation is another factor contributing to the complexity of the analysis and presentation of the data. Redundancy in the results make them difficult to analyze and use, as the nearest-neighbor lists may often contain many nearly identical objects making it difficult or impossible to reflect more distant neighbor relationships. The complex data we work with requires the information to be organized, processed and shown at multiple levels of resolution, with appropriate levels of phylogenomic resolution and protein similarity and an adequate sampling strategy.
机译:NCBI的微生物基因组代表了一个庞大的集合,其中包含来自5,000多个物种的近30,000个基因组。细菌基因组集合的质量和采样密度相差很大:人类病原体采样密集,而其他细菌的代表较少。基因组注释中不同蛋白质出现频率的变化是导致数据分析和表示复杂性的另一个因素。结果中的冗余使得它们难以分析和使用,因为最近邻居列表可能经常包含许多几乎相同的对象,从而难以或不可能反映更远的邻居关系。我们处理的复杂数据要求以多种分辨率组织,处理和显示信息,并具有适当水平的植物学分辨率和蛋白质相似性以及适当的采样策略。

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