COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with...

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• COXPRESdb is a key resource for gene coexpression relationships in animals.
• Previous versions relied primarily on microarray data.

Purpose of the Study:

• To update COXPRESdb with new data types and refine assessment procedures.
• To enhance the reliability and utility of gene coexpression data.

Main Methods:

• Incorporated RNAseq-based gene coexpression data for human, mouse, and fly.
• Expanded microarray experiment data to nine species.
• Refined data assessment using platform-specific P-values and null distributions.

Main Results:

• Significantly increased the volume and diversity of gene coexpression data.
• Improved the accuracy of coexpressed gene predictions by reducing pseudo-predictions.
• Enhanced the overall reliability of the coexpression data.

Conclusions:

• The updated COXPRESdb provides more dependable gene coexpression insights.
• These improvements facilitate more robust experimental design and result interpretation.