Categorizer specifications

Information


Unique identifier OMICS_26931
Name Categorizer
Software type Application/Script
Interface Command line interface, Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
License Apache License version 2.0
Computer skills Advanced
Version 1.0
Stability Stable
Requirements
Numpy, Scipy, matplotlib, wxPython
Maintained Yes

Versioning


No version available

Maintainers


  • person_outline RBSDesigner
  • person_outline Jörg Gsponer
  • person_outline Joerg Gsponer

Publication for Categorizer

Categorizer citations

 (2)
library_books

Total Lipopolysaccharide from the Human Gut Microbiome Silences Toll Like Receptor Signaling

2017
mSystems
PMCID: 5686520
PMID: 29152585
DOI: 10.1128/mSystems.00046-17

[…] We used HUMAnN2 to map UniRef50 gene families to GO terms, which were then aggregated into larger metabolic clusters with the CateGOrizer tool (). This procedure yielded a comprehensive but manageable set of 13 nonredundant GO biological process terms for comparison of HMP1 and new samples (https://figshare.com/s/5e56cc1a347 […]

library_books

Deep transcriptome annotation enables the discovery and functional characterization of cryptic small proteins

2017
eLife
PMCID: 5703645
PMID: 29083303
DOI: 10.7554/eLife.27860.083

[…] assigned to alternative proteins with InterPro entries were grouped and categorized into 13 classes within the three ontologies (cellular component, biological process, molecular function) using the CateGOrizer tool () (RRID:SCR_005737).Each unique alternative protein with InterPro entries and its corresponding reference protein (encoded in the same transcript) were retrieved from our InterProsca […]

Categorizer institution(s)
Department of Biochemistry and Molecular Biology, Centre for High-throughput Biology, University of British Columbia, Vancouver, BC, Canada; School of Integrative Engineering, Chung-Ang University, Seoul, Korea
Categorizer funding source(s)
Supported by NSERC and the Chung-Ang University Research Grants in 2013; by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014R1A1A1003444).

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