Abstract
More and more studies indicate that the issue of protein-coding gene finding in microbial genomes is far from thoroughly solved and the annotation quality has been questioned continuously in the past several years. In this paper, we summarize the computational methods for identifying the over-annotated genes and missing genes, and provide perspective for prospective gene finding works.
Keywords: Microbial genome, missing gene, over-annotated gene, protein-coding gene, re-annotation.
Current Bioinformatics
Title:A Review of the Computational Methods for Identifying the Over- Annotated Genes and Missing Genes in Microbial Genomes
Volume: 9 Issue: 2
Author(s): Jia-Feng Yu, Zhen-Zhen Guo, Xiao Sun and Ji-Hua Wang
Affiliation:
Keywords: Microbial genome, missing gene, over-annotated gene, protein-coding gene, re-annotation.
Abstract: More and more studies indicate that the issue of protein-coding gene finding in microbial genomes is far from thoroughly solved and the annotation quality has been questioned continuously in the past several years. In this paper, we summarize the computational methods for identifying the over-annotated genes and missing genes, and provide perspective for prospective gene finding works.
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Cite this article as:
Yu Jia-Feng, Guo Zhen-Zhen, Sun Xiao and Wang Ji-Hua, A Review of the Computational Methods for Identifying the Over- Annotated Genes and Missing Genes in Microbial Genomes, Current Bioinformatics 2014; 9 (2) . https://dx.doi.org/10.2174/1574893608999140109120612
DOI https://dx.doi.org/10.2174/1574893608999140109120612 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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