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Published on: August 15, 2019
GeneMachine: gene prediction and sequence annotation
I Makalowska1, J F Ryan, A D Baxevanis
1Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Building 49, Room 4A-22, Bethesda, MD 20892, USA.
Bioinformatics (Oxford, England)
|October 9, 2001
Summary
GeneMachine automates gene identification by querying multiple prediction programs and performing BLAST searches. This tool streamlines the analysis of anonymous DNA, aiding researchers in gene structure deduction and annotation for GenBank submission.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Researchers need tools to identify coding regions in anonymous DNA.
- Existing gene prediction programs use diverse criteria, necessitating multiple algorithms.
- Automated analysis is crucial for efficient positional cloning and candidate gene projects.
Purpose of the Study:
- To develop an automated gene identification tool called GeneMachine.
- To integrate multiple gene prediction and BLAST search functionalities.
- To streamline the process of analyzing anonymous DNA sequences.
Main Methods:
- GeneMachine queries multiple exon and gene prediction programs (MZEF, GENSCAN, GRAIL 2, FGENES, RepeatMasker, Sputnik).
- Automated BLAST searches are performed to identify known coding regions.
- Results are parsed, formatted into ASN.1, and viewable in NCBI Sequin.
Main Results:
- GeneMachine provides a fully automated workflow for gene identification.
- Users can launch GeneMachine and open results in Sequin for annotation.
- The tool facilitates efficient analysis and annotation of potential coding regions.
Conclusions:
- GeneMachine simplifies and automates the gene identification process.
- The tool enhances the value of genomic data prior to GenBank submission.
- Automated gene prediction analysis is essential for modern genomics research.
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