cisRED: a database system for genome-scale computational discovery of regulatory elements

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Identifying conserved regulatory elements is crucial for understanding gene regulation.
• Existing tools face challenges with rapidly evolving genomic data and diverse target genomes.

Purpose of the Study:

• To introduce cisRED, a database and computational system for identifying and ranking conserved regulatory elements.
• To provide a scalable solution for diverse genomes using high-throughput predictive pipelines.

Main Methods:

• Utilizing a genome-scale computational system to predict motifs in promoter regions.
• Employing multiple discovery methods on vertebrate sequence sets.
• Estimating motif significance using randomized sequence sets and statistical thresholds.
• Identifying groups of similar motifs and co-occurring motif patterns.

Main Results:

• Developed cisRED, a web-accessible database of conserved regulatory elements.
• The system ranks motifs based on statistical significance.
• Information on atomic motifs, motif groups, and patterns is available.
• The database can be queried, downloaded, or installed locally.

Conclusions:

• cisRED offers a robust platform for discovering and analyzing conserved regulatory elements.
• The system supports diverse genomic research by integrating evolving data and tools.
• This resource facilitates a deeper understanding of gene regulation mechanisms across species.