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Bioinformatics Vol. 17 no. 9 2001
Pages 843-844
© 2001 Oxford University Press


Applications Note

GeneMachine: gene prediction and sequence annotation

Izabela Makalowska , Joseph F. Ryan and Andreas D. Baxevanis *

Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Building 49, Room 4A-22, Bethesda, MD 20892, USA

Received on February 12, 2001 ; revised on May 25, 2001 ; accepted on May 30, 2001

Motivation: A number of free-standing programs have been developed in order to help researchers find potential coding regions and deduce gene structure for long stretches of what is essentially ‘anonymous DNA’. As these programs apply inherently different criteria to the question of what is and is not a coding region, multiple algorithms should be used in the course of positional cloning and positional candidate projects to assure that all potential coding regions within a previously-identified critical region are identified.

Results: We have developed a gene identification tool called GeneMachine which allows users to query multiple exon and gene prediction programs in an automated fashion. BLAST searches are also performed in order to see whether a previously-characterized coding region corresponds to a region in the query sequence. A suite of Perl programs and modules are used to run MZEF, GENSCAN, GRAIL 2, FGENES, RepeatMasker, Sputnik, and BLAST. The results of these runs are then parsed and written into ASN.1 format. Output files can be opened using NCBI Sequin, in essence using Sequin as both a workbench and as a graphical viewer. The main feature of GeneMachine is that the process is fully automated; the user is only required to launch GeneMachine and then open the resulting file with Sequin. Annotations can then be made to these results prior to submission to GenBank, thereby increasing the intrinsic value of these data.

Availability: GeneMachine is freely-available for download at http://genome.nhgri.nih.gov/genemachine. A public Web interface to the GeneMachine server for academic and not-for-profit users is available at http://genemachine.nhgri.nih.gov. The Web supplement to this paper may be found at http://genome.nhgri.nih.gov/genemachine/supplement/.

Contact: andy{at}nhgri.nih.gov

* To whom correspondence should be addressed.


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