2014•Current BioinformaticsRequires access

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

Jiafeng Yu, Zhenzhen Guo, Xiao Song Sun, Jihua Wang

Open publisher page 7 citations

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.

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What this paper is about

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.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Gene, Genome, Annotation, Gene prediction, Computational biology, Biology, Genome project, Gene Annotation

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