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PRIMEGENS: robust and efficient design of gene-specific probes for microarray analysis.
Dong Xu1, Guangshan Li, Liyou Wu
1Protein Informatics Group, Life Sciences Division Environmental Sciences Division, Oak Ridge, TN 37831, USA. xud@ornl.gov
Bioinformatics (Oxford, England)
|November 9, 2002
Summary
PRIMEGENS is a new bioinformatics tool that designs specific DNA primers for microarray analysis. This method efficiently creates gene-specific DNA fragments, improving the reliability of DNA microarrays.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- DNA microarrays are essential high-throughput tools for gene function and regulatory network studies.
- Full-length genes can cause cross-hybridization issues in microarray construction.
- Need for specific DNA fragments for accurate microarray probe design.
Purpose of the Study:
- To introduce PRIMEGENS, an automated bioinformatics tool for designing specific PCR primers.
- To utilize DNA fragments specific to individual open reading frames (ORFs) for primer design.
- To enhance the specificity and reliability of DNA microarray probes.
Main Methods:
- PRIMEGENS employs BLAST searches to identify homologous sequences for each target ORF.
- Optimal sequence alignment using dynamic programming is performed between target ORFs and homologous sequences.
- Gene-specific fragments are selected and used with the Primer3 program to design PCR primer pairs.
Main Results:
- PRIMEGENS successfully designed specific PCR primers for individual ORFs from Shewanella oneidensis MR-1 and Deinococcus radiodurans R1.
- The tool can be accessed via a command-line interface or a web interface.
- The program demonstrates efficient performance, processing sequences in seconds on a standard workstation.
Conclusions:
- The PRIMEGENS method is highly efficient and reliable for designing specific probes for DNA microarray analysis.
- This approach effectively addresses cross-hybridization issues by using gene-specific DNA fragments.
- PRIMEGENS facilitates accurate gene function and regulatory network studies using microarrays.