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The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes

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Ruepp, A.·2004·Nucleic Acids Research

Abstract

In this paper, we present the Functional Catalogue (FunCat), a hierarchically structured, organism-independent, flexible and scalable controlled classification system enabling the functional description of proteins from any organism. FunCat has been applied for the manual annotation of prokaryotes, fungi, plants and animals. We describe how FunCat is implemented as a highly efficient and robust tool for the manual and automatic annotation of genomic sequences. Owing to its hierarchical architecture, FunCat has also proved to be useful for many subsequent downstream bioinformatic applications. This is illustrated by the analysis of large-scale experiments from various investigations in transcriptomics and proteomics, where FunCat was used to project experimental data into functional units, as 'gold standard' for functional classification methods, and also served to compare the significance of different experimental methods. Over the last decade, the FunCat has been established as a robust and stable annotation scheme that offers both, meaningful and manageable functional classification as well as ease of perception.

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Metadata

Authors
Ruepp, A.
Venue
Nucleic Acids Research
Published
2004-10-11
Volume
32
Issue
18
Pages
5539-5545
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2137917513
Cited by
1,133
References
4
FWCI
15.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. https://app.cochat.ai/papers/10.1093/nar/gkh894
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Ruepp, A. (2004). The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkh894

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.