Warrenfeltz Susanne, Basenko Evelina Y, Crouch Kathryn, Harb Omar S, Kissinger Jessica C, Roos David S, Shanmugasundram Achchuthan, Silva-Franco Fatima
Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.
Centre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.
Methods Mol Biol. 2018;1757:69-113. doi: 10.1007/978-1-4939-7737-6_5.
Fighting infections and developing novel drugs and vaccines requires advanced knowledge of pathogen's biology. Readily accessible genomic, functional genomic, and population data aids biological and translational discovery. The Eukaryotic Pathogen Database Resources ( http://eupathdb.org ) are data mining resources that support hypothesis driven research by facilitating the discovery of meaningful biological relationships from large volumes of data. The resource encompasses 13 sites that support over 170 species including pathogenic protists, oomycetes, and fungi as well as evolutionarily related nonpathogenic species. EuPathDB integrates preanalyzed data with advanced search capabilities, data visualization, analysis tools and a comprehensive record system in a graphical interface that does not require prior computational skills. This chapter describes guiding concepts common across EuPathDB sites and illustrates the powerful data mining capabilities of some of the available tools and features.
对抗感染以及研发新型药物和疫苗需要深入了解病原体的生物学特性。易于获取的基因组、功能基因组和群体数据有助于生物学和转化医学研究的发现。真核病原体数据库资源(http://eupathdb.org)是数据挖掘资源,通过促进从大量数据中发现有意义的生物学关系来支持假设驱动的研究。该资源涵盖13个网站,支持170多种物种,包括致病性原生生物、卵菌和真菌以及进化相关的非致病性物种。EuPathDB将预先分析的数据与高级搜索功能、数据可视化、分析工具和一个全面的记录系统集成在一个图形界面中,无需事先具备计算技能。本章描述了EuPathDB各网站共有的指导概念,并展示了一些可用工具和功能强大的数据挖掘能力。