GEREDB: Gene expression regulation database curated by mining abstracts from literature

J Bioinform Comput Biol. 2019 Aug;17(4):1950024. doi: 10.1142/S0219720019500240.

Abstract

Understanding how genes are expressed and regulated in different biological processes are fundamental and challenging issues. Considerable progress has been made in studying the relationship between the expression and regulation of human genes. However, it is difficult to use these resources productively to analyze gene expression data. GEREDB (www.thua45.cn/geredb) has been developed to facilitate analyses that will provide insights into the regulation of genes that govern specific biological responses. GEREDB is a publicly available, manually curated biological database that stores the data regarding relationships between expression and regulation of human genes. To date, more than 39,000 Links have been contextually annotated by reviewing more than 53,000 abstracts. GEREDB can be searched using the official NCBI gene symbol as a query, and it can be downloaded along with the GEREA software package. GEREDB has the ability to analyze user-supplied gene expression data in a causal analysis oriented manner using the GEREA bioinformatics tool.

Keywords: Gene expression; causal analysis; regulator.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abstracting and Indexing
  • Data Curation*
  • Data Mining*
  • Databases, Genetic*
  • Gene Expression Regulation*
  • Internet
  • PubMed
  • Software
  • User-Computer Interface