Abstract
Pseudogenes are homologous relatives of known genes that have lost their ability to function as a transcriptional unit. Three classes of pseudogenes are known to exist: duplicated pseudogenes; processed or retrotransposed pseudogenes; and unitary or disabled pseudogenes. Since pseudogenes may display a number of the characteristics of functional genes, they pose a unique set of problems for ab initio gene prediction. The ability to detect and differentiate pseudogenes from functional genes can be a difficult task. We present a comprehensive review of current approaches for pseudogene detection, highlighting difficulties in pseudogene differentiation.
Keywords: Pseudogene, gene prediction, disabled pseudogenes, processed pseudogenes, duplicated pseudogenes
Current Bioinformatics
Title: Current Trends in Pseudogene Detection and Characterization
Volume: 4 Issue: 2
Author(s): Eric Christian Rouchka and I. Elizabeth Cha
Affiliation:
Keywords: Pseudogene, gene prediction, disabled pseudogenes, processed pseudogenes, duplicated pseudogenes
Abstract: Pseudogenes are homologous relatives of known genes that have lost their ability to function as a transcriptional unit. Three classes of pseudogenes are known to exist: duplicated pseudogenes; processed or retrotransposed pseudogenes; and unitary or disabled pseudogenes. Since pseudogenes may display a number of the characteristics of functional genes, they pose a unique set of problems for ab initio gene prediction. The ability to detect and differentiate pseudogenes from functional genes can be a difficult task. We present a comprehensive review of current approaches for pseudogene detection, highlighting difficulties in pseudogene differentiation.
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Cite this article as:
Rouchka Christian Eric and Cha Elizabeth I., Current Trends in Pseudogene Detection and Characterization, Current Bioinformatics 2009; 4 (2) . https://dx.doi.org/10.2174/157489309788184792
DOI https://dx.doi.org/10.2174/157489309788184792 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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