MotifCombinator: A Tool for Finding Motif Combinations
Author Information
Author(s): Kato Mamoru, Tsunoda Tatsuhiko
Primary Institution: Laboratory for Medical Informatics, SNP Research Center, RIKEN, Yokohama, Japan
Hypothesis
There is a need for a web-based tool that can systematically search for combinations of cis-regulatory motifs using regression methods.
Conclusion
MotifCombinator helps users to systematically search for motif combinations that play an important role in gene expression as measured by microarrays.
Supporting Evidence
- MotifCombinator can recover motif combinations from simulated data with high accuracy.
- The tool was tested with muscle-specific transcripts and successfully identified relevant motifs.
- It employs multiple regression methods to analyze gene expression data.
Takeaway
MotifCombinator is a tool that helps scientists find groups of DNA patterns that work together to control gene activity.
Methodology
The tool uses regression methods and a genetic algorithm to search for combinations of motifs based on user-uploaded data.
Limitations
The tool's effectiveness may decrease with increased noise in the data.
Statistical Information
P-Value
<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website