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A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes
Genes critical for the survival or reproduction of an organism in certain circumstances are classified as essential genes. Essential genes play a significant role in deciphering the survival mechanism of life. They may be greatly applied to pharmaceutics and synthetic biology. The continuous progres...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711816/ https://www.ncbi.nlm.nih.gov/pubmed/29230204 http://dx.doi.org/10.3389/fmicb.2017.02331 |
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author | Peng, Chong Lin, Yan Luo, Hao Gao, Feng |
author_facet | Peng, Chong Lin, Yan Luo, Hao Gao, Feng |
author_sort | Peng, Chong |
collection | PubMed |
description | Genes critical for the survival or reproduction of an organism in certain circumstances are classified as essential genes. Essential genes play a significant role in deciphering the survival mechanism of life. They may be greatly applied to pharmaceutics and synthetic biology. The continuous progress of experimental method for essential gene identification has accelerated the accumulation of gene essentiality data which facilitates the study of essential genes in silico. In this article, we present some available online resources related to gene essentiality, including bioinformatic software tools for transposon sequencing (Tn-seq) analysis, essential gene databases and online services to predict bacterial essential genes. We review several computational approaches that have been used to predict essential genes, and summarize the features used for gene essentiality prediction. In addition, we evaluate the available online bacterial essential gene prediction servers based on the experimentally validated essential gene sets of 30 bacteria from DEG. This article is intended to be a quick reference guide for the microbiologists interested in the essential genes. |
format | Online Article Text |
id | pubmed-5711816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57118162017-12-11 A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes Peng, Chong Lin, Yan Luo, Hao Gao, Feng Front Microbiol Microbiology Genes critical for the survival or reproduction of an organism in certain circumstances are classified as essential genes. Essential genes play a significant role in deciphering the survival mechanism of life. They may be greatly applied to pharmaceutics and synthetic biology. The continuous progress of experimental method for essential gene identification has accelerated the accumulation of gene essentiality data which facilitates the study of essential genes in silico. In this article, we present some available online resources related to gene essentiality, including bioinformatic software tools for transposon sequencing (Tn-seq) analysis, essential gene databases and online services to predict bacterial essential genes. We review several computational approaches that have been used to predict essential genes, and summarize the features used for gene essentiality prediction. In addition, we evaluate the available online bacterial essential gene prediction servers based on the experimentally validated essential gene sets of 30 bacteria from DEG. This article is intended to be a quick reference guide for the microbiologists interested in the essential genes. Frontiers Media S.A. 2017-11-27 /pmc/articles/PMC5711816/ /pubmed/29230204 http://dx.doi.org/10.3389/fmicb.2017.02331 Text en Copyright © 2017 Peng, Lin, Luo and Gao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Peng, Chong Lin, Yan Luo, Hao Gao, Feng A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title | A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title_full | A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title_fullStr | A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title_full_unstemmed | A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title_short | A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes |
title_sort | comprehensive overview of online resources to identify and predict bacterial essential genes |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711816/ https://www.ncbi.nlm.nih.gov/pubmed/29230204 http://dx.doi.org/10.3389/fmicb.2017.02331 |
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