Transcription Factor Class
Countries that developed this resource Germany
Created in 2012
How to cite this record FAIRsharing.org: TFClass; Transcription Factor Class; DOI: https://doi.org/10.25504/FAIRsharing.XykycZ; 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;
Record added: Nov. 7, 2019, 12:41 p.m.
Record updated: Nov. 7, 2019, 12:49 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.XykycZ' by 'The FAIRsharing Team' at 12:49, 07 Nov 2019 (approved): 'related_standards' has been modified: Before: After: Transcription Factor Class Schema Added: Transcription Factor Class Schema Removed:
Edits to 'https://fairsharing.org/FAIRsharing.XykycZ' by 'The FAIRsharing Team' at 12:42, 07 Nov 2019 (approved): 'publications' has been modified: Before: After: 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 Added: 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 Removed:
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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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This record is maintained by edgar.wingender