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MutaNET:一种用于基因调控网络中基因组突变自动分析的工具。

MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks.

机构信息

Center for Bioinformatics, Campus Building E2.1, Saarland University, D-66123 Saarbrücken, Germany.

Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, D-18057 Rostock, Germany.

出版信息

Bioinformatics. 2018 Mar 1;34(5):864-866. doi: 10.1093/bioinformatics/btx687.

Abstract

SUMMARY

Mutations in genomic key elements can influence gene expression and function in various ways, and hence greatly contribute to the phenotype. We developed MutaNET to score the impact of individual mutations on gene regulation and function of a given genome. MutaNET performs statistical analyses of mutations in different genomic regions. The tool also incorporates the mutations in a provided gene regulatory network to estimate their global impact. The integration of a next-generation sequencing pipeline enables calling mutations prior to the analyses. As application example, we used MutaNET to analyze the impact of mutations in antibiotic resistance (AR) genes and their potential effect on AR of bacterial strains.

AVAILABILITY AND IMPLEMENTATION

MutaNET is freely available at https://sourceforge.net/projects/mutanet/. It is implemented in Python and supported on Mac OS X, Linux and MS Windows. Step-by-step instructions are available at http://service.bioinformatik.uni-saarland.de/mutanet/.

CONTACT

volkhard.helms@bioinformatik.uni-saarland.de.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

基因组关键元素的突变可以以各种方式影响基因表达和功能,从而极大地影响表型。我们开发了 MutaNET 来评估单个突变对给定基因组基因调控和功能的影响。MutaNET 对不同基因组区域的突变进行统计分析。该工具还将提供的基因突变纳入基因调控网络,以估计它们的全局影响。整合下一代测序管道可在分析之前调用突变。作为应用示例,我们使用 MutaNET 分析了抗生素耐药性 (AR) 基因中的突变及其对细菌菌株 AR 的潜在影响。

可用性和实现

MutaNET 可在 https://sourceforge.net/projects/mutanet/ 免费获得。它是用 Python 编写的,支持 Mac OS X、Linux 和 MS Windows。在 http://service.bioinformatik.uni-saarland.de/mutanet/ 上提供了逐步说明。

联系方式

volkhard.helms@bioinformatik.uni-saarland.de

补充信息

补充数据可在 Bioinformatics 在线获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b84a/6192214/7032a470ae92/btx687f1.jpg

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