A Review of the Computational Methods for Identifying the Over-Annotated Genes and Missing Genes in Microbial Genomes

被引：9
|
作者：
Yu, Jia-Feng [1 ]
Guo, Zhen-Zhen [1 ]
Sun, Xiao [2 ]
Wang, Ji-Hua [1 ]
机构：
[1] Dezhou Univ, Shandong Prov Key Lab Biophys Funct Macromol, Dezhou 253023, Peoples R China
[2] Southeast Univ, Sch Biol Sci & Med Engn, State Key Lab Bioelect, Nanjing 210096, Jiangsu, Peoples R China
来源：
CURRENT BIOINFORMATICS | 2014年 / 9卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Microbial genome; missing gene; over-annotated gene; protein-coding gene; re-annotation; PROTEIN-CODING GENES; AEROPYRUM-PERNIX K1; RE-ANNOTATION; ESCHERICHIA-COLI; GRAPHICAL REPRESENTATION; BACTERIAL GENES; DNA-SEQUENCE; CODON USAGE; PREDICTION; ORFS;
D O I：
10.2174/1574893608999140109120612
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：147 / 154
页数：8
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