GeneSCF statistics
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Gene set enrichment analysis
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GeneSCF specifications
Information
| Unique identifier | OMICS_10275 |
|---|---|
| Name | GeneSCF |
| Alternative name | Gene Set Clustering based on Functional annotation |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | Academic or non-commercial use |
| Input data | The standard input for GeneSCF is plain text document (text/plain) containing a list of genes in the form of official gene symbols. |
| Output data | The final output from GeneSCF is a table (text/tab-separated file, TSV) with list of ranked functions based on the number of hits from the user provided gene list. It also contains column with probability value (P-value) obtained by Fisher’s exact test using the contingency table and also columns containing false discovery rate (FDR) values using different multiple hypothesis correction methods. |
| Operating system | Unix/Linux |
| Programming languages | Perl, Shell (Bash) |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Version | 1.1 |
| Stability | Stable |
| Requirements |
R, ggplot
|
| Maintained | Yes |
Taxon
-
Primates
- Homo sapiens
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Versioning
No version available
Documentation
- Documentation: http://genescf.kandurilab.org/documentation.php
Maintainer
- person_outline Chandrasekhar Kanduri
Publications for Gene Set Clustering based on Functional annotation
library_books
GeneSCF: a real-time based functional enrichment tool with support for multiple organisms
2016 BMC Bioinformatics
PMCID: 5020511
PMID: 27618934
DOI: 10.1186/s12859-016-1250-z
library_books
MEG3 long noncoding RNA regulates the TGF-β pathway genes throughformation of RNA–DNA triplex structures
2015 Nat Commun
PMCID: 4525211
PMID: 26205790
DOI: 10.1038/ncomms8743
GeneSCF citation
library_books
Global DNA methylation profiling reveals new insights into epigenetically deregulated protein coding and long noncoding RNAs in CLL
2016
Clin Epigenetics
PMCID: 5062931
PMID: 27777635
DOI: 10.1186/s13148-016-0274-6
[…] The pathway enrichment analysis and cancer enrichment analysis on cllDMGs was carried out with the help of a command line functional enrichment tool called GeneSCF v1.1 (Gene Set Clustering based on Functional annotation) [, ]. We used GeneSCF with parameters, two different database KEGG pathways and NCG (Network of cancer Genes 4.0) [], Ensembl GRCh37.7 […]
GeneSCF institution(s)
Department of Medical Genetics, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
GeneSCF funding source(s)
This work was supported by the grants from the Knut and Alice Wallenberg Foundation (KAW) (Dnr KAW 2014.0057), Swedish Foundation for Strategic Research (RB13-0204), Swedish Cancer Research foundation (Cancerfonden: Kontrakt no. 150796), the Swedish Research Council (VR-M: K2014-67X-20781-07-4), Barncancerfonden (PR2014/0147), Ingabritt Och Arne Lundbergs forskningsstiftelse and LUA/ALF.
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