Computational methods for gene finding in prokaryotes
Journal
ICT Innovations 2010 Web Proceedings
Date Issued
2010-09
Author(s)
Angelova, Mihaela
Kocarev, Ljupcho
Abstract
Gene finding is crucial in understanding the genome of a species.
The long genomic sequence is not very useful, unless its biologically functional
subsequences (genes) are identified. Along with the ongoing revolution in
sequencing technology, the number of sequenced genomes has increased
drastically. Therefore, the development of reliable automated techniques for
predicting genes has become critical.
Automatic gene prediction is one of the essential issues in bioinformatics. Many
approaches have been proposed and a lot of tools have been developed. This
paper compiles information about some of the currently most widely used gene
finders for prokaryotic genomes, explaining the underlying computational
methods and highlighting their advantages and limitations. Finally, the gene
finders are tested on a strain with high GC-content.
The long genomic sequence is not very useful, unless its biologically functional
subsequences (genes) are identified. Along with the ongoing revolution in
sequencing technology, the number of sequenced genomes has increased
drastically. Therefore, the development of reliable automated techniques for
predicting genes has become critical.
Automatic gene prediction is one of the essential issues in bioinformatics. Many
approaches have been proposed and a lot of tools have been developed. This
paper compiles information about some of the currently most widely used gene
finders for prokaryotic genomes, explaining the underlying computational
methods and highlighting their advantages and limitations. Finally, the gene
finders are tested on a strain with high GC-content.
Subjects
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