A survey on database resources for microRNA-disease relationships

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• MicroRNAs (miRNAs) play a significant role in disease development and progression.
• miRNA-disease databases are increasingly vital for studying these complex relationships.
• A lack of standardized guidelines hinders the effective comparison and selection of these databases.

Purpose of the Study:

• To analyze and compare features of popular miRNA-disease databases.
• To establish guidelines for selecting appropriate miRNA-disease databases based on research needs.
• To aid researchers in leveraging miRNA-disease data resources effectively.

Main Methods:

• Comparative analysis of prominent miRNA-disease databases.
• Evaluation of database features including scale, disease classification, miRNA targets, detection techniques, regulation, scoring, study design, and tissue/cell line data.
• Development of selection criteria for researchers.

Main Results:

• Detailed comparison of key features across various miRNA-disease databases.
• Identification of strengths and weaknesses of different databases for specific research applications.
• A framework for choosing databases based on research scope and data requirements.

Conclusions:

• Standardized guidelines are needed for miRNA-disease database comparison.
• Informed database selection is critical for efficient bioinformatics and biological research.
• This survey empowers researchers to optimize their use of miRNA-disease data resources.