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PARSESNP: A tool for the analysis of nucleotide polymorphisms
Nicholas E Taylor1, Elizabeth A Greene
1Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA.
Nucleic Acids Research
|June 26, 2003
Summary
PARSESNP analyzes gene polymorphisms by comparing DNA sequences to predict effects on proteins and restriction sites. This tool aids in understanding genetic variations and their functional impacts.
Area of Science:
- Genetics
- Bioinformatics
- Molecular Biology
Background:
- Genetic polymorphisms can alter gene function and protein structure.
- Analyzing these variations is crucial for understanding genetic diseases and evolution.
- Existing tools may lack comprehensive analysis of polymorphism effects.
Purpose of the Study:
- To introduce PARSESNP, a web-based tool for analyzing gene polymorphisms.
- To provide detailed insights into the functional consequences of DNA variations.
- To predict the impact of polymorphisms on protein sequences and restriction enzyme sites.
Main Methods:
- Utilizes reference DNA sequences and exon/intron models.
- Identifies and maps polymorphisms within gene sequences.
- Compares DNA and protein sequences, incorporating homology modeling.
- Analyzes changes in restriction enzyme recognition sites.
Main Results:
- PARSESNP displays polymorphism locations and effects graphically and via sequence alignment.
- Predicts the impact of polymorphisms on the expressed gene product.
- Identifies alterations in restriction enzyme recognition sites.
- Assesses the severity of missense mutations using protein homology.
Conclusions:
- PARSESNP offers a comprehensive approach to polymorphism analysis.
- The tool facilitates the study of genetic variation effects on gene products.
- Provides valuable predictions for genetic research and drug discovery.
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