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

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Understanding gene expression and regulation is crucial for biological processes.
• Existing resources for human gene expression data analysis are often difficult to utilize effectively.
• Analyzing the interplay between gene expression and regulation provides insights into specific biological responses.

Purpose of the Study:

• To develop GEREDB, a manually curated database for human gene expression and regulation data.
• To facilitate the productive analysis of gene expression data.
• To provide a tool for causal analysis of gene expression data.

Main Methods:

• Manual curation of a biological database (GEREDB).
• Annotation of over 39,000 links by reviewing more than 53,000 abstracts.
• Integration with the GEREA software package for data analysis.
• Development of a search function using official NCBI gene symbols.

Main Results:

• GEREDB is a publicly available resource containing extensive data on human gene expression and regulation.
• The database includes over 39,000 contextually annotated links.
• GEREDB is searchable by gene symbol and downloadable with the GEREA tool.
• The GEREA tool enables causal analysis of user-supplied gene expression data.

Conclusions:

• GEREDB provides a valuable, curated resource for researchers studying human gene expression and regulation.
• The database and associated GEREA tool enhance the ability to analyze gene expression data and gain biological insights.
• GEREDB facilitates a deeper understanding of the regulatory mechanisms governing specific biological responses.