standards > terminology artifact > DOI:10.25504/FAIRsharing.XykycZ
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ready Transcription Factor Class

Abbreviation: TFClass

General Information
TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, >39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.

How to cite this record TFClass; Transcription Factor Class; DOI:; Last edited: Dec. 19, 2019, 11:07 a.m.; Last accessed: Jan 27 2022 8:12 a.m.

Publication for citation  TFClass: expanding the classification of human transcription factors to their mammalian orthologs. Wingender E,Schoeps T,Haubrock M,Krull M,Donitz J; Nucleic Acids Res ; 2017; 10.1093/nar/gkx987;

This record is maintained by edgar.wingender

Record added: Nov. 7, 2019, 12:41 p.m.
Record updated: Nov. 7, 2019, 12:49 p.m. by The FAIRsharing Team.

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TFClass: expanding the classification of human transcription factors to their mammalian orthologs.

Wingender E,Schoeps T,Haubrock M,Krull M,Donitz J
Nucleic Acids Res 2017

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Related Databases (2)
Human Protein Atlas
The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA is composed of six parts: the Tissue Atlas, the Single Cell Type Atlas, the Pathology Atlas, the Blood Atlas, the Brain Atlas, and the Cell Atlas.

Signaling Pathways Project
The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.

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