FunGeneClusterS statistics

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Citations per year

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Popular tool citations

chevron_left Secondary metabolite biosynthetic pathways chevron_right
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FunGeneClusterS specifications

Information


Unique identifier OMICS_17101
Name FunGeneClusterS
Interface Web user interface
Restrictions to use None
Input data Expression data and annotation data.
Output data Files and plots.
Output format Text files and PDF.
Programming languages R
License GNU Lesser General Public License version 3.0
Computer skills Basic
Stability Beta
Maintained Yes

Maintainer


  • person_outline Mikael Andersen

Information


Unique identifier OMICS_17101
Name FunGeneClusterS
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU Lesser General Public License version 3.0
Computer skills Advanced
Stability Beta
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Mikael Andersen

Publication for FunGeneClusterS

FunGeneClusterS citations

 (2)
library_books

In silico prediction and characterization of secondary metabolite biosynthetic gene clusters in the wheat pathogen Zymoseptoria tritici

2017
BMC Genomics
PMCID: 5561558
PMID: 28818040
DOI: 10.1186/s12864-017-3969-y

[…] detectable transcripts at all time points were considered. average fragments per kilobase for each gene per million fragments (fpkm) at each timepoint ([], additional file ) were analyzed using the fungeneclusters programme using default parameters []. only clusters with genes encoding 3 or more co-expressed transcripts were considered co-regulated. this analysis identified a total of 397 genes […]

library_books

Introduction to the Special Issue “Bioinformatic tools and approaches for Synthetic Biology of natural products”

2016
PMCID: 5640685
PMID: 29062929
DOI: 10.1016/j.synbio.2016.04.001

[…] an easy way to design sgrnas (single guide rna), which are prerequisites for most crispr/cas9 applications based on user-provided genome sequence data., meanwhile, the new web-based software “fungeneclusters” can be used to identify fungal secondary metabolite biosynthetic gene clusters by integrating genomics and transcriptomics data. the manuscript of vesth et al. not only describes […]


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FunGeneClusterS institution(s)
Department of Systems Biology, Technical University of Denmark, Denmark

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