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Computer software to find genes in plant genomic DNA
Ramana V Davuluri1, Michael Q Zhang
1Department of Molecular Virology, Immunology, and Medical Genetics, Human Cancer Genetics Program, The Ohio State University, Columbus, OH, USA.
Methods in Molecular Biology (Clifton, N.J.)
|September 23, 2003
Summary
Computational gene prediction tools are crucial for identifying protein-coding genes in eukaryotic genomes. This guide details widely used web-based programs and offers best practices for successful gene finding in large genomic sequences.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Gene finding is a critical step in genome annotation, essential for understanding genomic function.
- Accurate computational gene prediction accelerates the experimental validation of expressed genes.
Purpose of the Study:
- To review and discuss various computer programs used for identifying protein-coding genes in large genomic sequences.
- To provide practical guidance and resources for researchers engaged in gene prediction.
Main Methods:
- Description of commonly used gene prediction software available online.
- Demonstration of gene prediction program usage with a practical example.
- Compilation of a list of gene finding tools with their respective web addresses (URLs).
Main Results:
- Identification of key computational tools for gene prediction.
- Illustrative example showcasing the application of selected gene finding programs.
- Provision of guidelines to enhance the success rate of gene finding.
Conclusions:
- Computational gene prediction is indispensable for modern genomics research.
- Accessible web-based tools and strategic application can significantly improve gene finding efficiency.
- This resource aids researchers in navigating and utilizing gene prediction software effectively.