Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24081
Title: Computational methods for gene finding in prokaryotes
Authors: Angelova, Mihaela
Kalajdziski, Slobodan 
Kocarev, Ljupcho
Keywords: ab initio prediction, gene prediction, homology-based search, prokaryotes
Issue Date: Sep-2010
Journal: ICT Innovations 2010 Web Proceedings
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.
URI: http://hdl.handle.net/20.500.12188/24081
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

Files in This Item:
File Description SizeFormat 
DraskoNakikICTIn.pdf7.48 MBAdobe PDFView/Open
Show full item record

Page view(s)

48
checked on Jul 24, 2024

Download(s)

55
checked on Jul 24, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.