Hollander, M., Hamed, M., Helms, V., Neininger, K. (2018)
MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks.
Bioinformatics, vol. 34, p. 864-866. doi: 10.1093/bioinformatics/btx687.

@article{10.1093/bioinformatics/btx687,
 author = {Hollander, Markus and Hamed, Mohamed and Helms, Volkhard and Neininger, Kerstin},
 title = "{MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks}",
 journal = {Bioinformatics},
 volume = {34},
 number = {5},
 pages = {864-866},
 year = {2017},
 month = {10},
 abstract = "{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.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/.Supplementary data are available at Bioinformatics online.}",
 issn = {1367-4803},
 doi = {10.1093/bioinformatics/btx687},
 url = {https://doi.org/10.1093/bioinformatics/btx687},
 eprint = {https://academic.oup.com/bioinformatics/article-pdf/34/5/864/25170713/btx687.pdf},
}