GEREDB: Gene expression regulation database curated by mining abstracts from literature.
Tinghua HuangXiali HuangBomei ShiMin YaoPublished in: Journal of bioinformatics and computational biology (2020)
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.
Keyphrases
- gene expression
- genome wide
- dna methylation
- genome wide identification
- endothelial cells
- poor prognosis
- electronic health record
- bioinformatics analysis
- big data
- genome wide analysis
- systematic review
- transcription factor
- emergency department
- machine learning
- binding protein
- lymph node metastasis
- artificial intelligence