Department of Molecular Medicine & Pathology, School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Private Bag 92019, Auckland, New Zealand.
FEBS Open Bio. 2012 Apr 17;2:76-82. doi: 10.1016/j.fob.2012.04.003. Print 2012.
Most "omics" experiments require comprehensive interpretation of the biological meaning of gene lists. To address this requirement, a number of gene set analysis (GSA) tools have been developed. Although the biological value of GSA is strictly limited by the breadth of the gene sets used, very few methods exist for simultaneously analysing multiple publically available gene set databases. Therefore, we constructed GeneSetDB (http://genesetdb.auckland.ac.nz/haeremai.html), a comprehensive meta-database, which integrates 26 public databases containing diverse biological information with a particular focus on human disease and pharmacology. GeneSetDB enables users to search for gene sets containing a gene identifier or keyword, generate their own gene sets, or statistically test for enrichment of an uploaded gene list across all gene sets, and visualise gene set enrichment and overlap using a clustered heat map.
大多数“组学”实验都需要全面解释基因列表的生物学意义。为了满足这一要求,已经开发了许多基因集分析(GSA)工具。尽管 GSA 的生物学价值严格受到所使用基因集的广度限制,但几乎没有同时分析多个公共基因集数据库的方法。因此,我们构建了 GeneSetDB(http://genesetdb.auckland.ac.nz/haeremai.html),这是一个综合性的元数据库,集成了 26 个包含各种生物学信息的公共数据库,特别关注人类疾病和药理学。GeneSetDB 允许用户搜索包含基因标识符或关键字的基因集,生成自己的基因集,或对上传的基因列表在所有基因集中进行富集统计检验,并使用聚类热图可视化基因集的富集和重叠。