Multipattern Consensus Regions in Multiple Aligned Protein Sequences and Their Segmentation
2006
Multipattern Consensus Regions in Protein Sequences
publication
Evidence: moderate
Author Information
Author(s): D. K. Y. Chiu, Y. Wang
Primary Institution: University of Guelph
Hypothesis
Can multipattern consensus regions improve the segmentation of biological sequences?
Conclusion
The study found significant associations between detected regions in protein sequences and mutation tendencies, structural locations, and hereditary cancer factors.
Supporting Evidence
- The study introduces multipattern consensus regions for better segmentation of protein sequences.
- Significant associations were found between the detected regions and mutation tendencies.
- The research highlights the relevance of these regions in understanding cancer-related factors.
Takeaway
This study looks at how to break down protein sequences into important parts to better understand their functions and links to cancer.
Methodology
The study used multiple alignments of protein sequences to evaluate segmentation based on statistical variation patterns.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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