| URL: | http://www.p2tf.org |
| Full name: | Predicted Prokaryotic Transcription Factors |
| Description: | P2TF is an integrated and comprehensive database of TF proteins, which contains a compilation of the TF genes within completely sequenced genomes and metagenomes. It provides detailed annotation of each TF gene including classification, sequence features, functional domains, as well as chromosomal localization. Data can be downloaded for analysis and users can validate and add annotation to predicted TF genes. |
| Year founded: | 2012 |
| Last update: | 2016 |
| Version: | 2.9 |
| Accessibility: |
Accessible
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| Country/Region: | France |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | university of aix marseille |
| Address: | CEA, DRF, BIAM, CNRS, UMR7265, LEMiRE,Aix-Marseille Université, Saint-Paul-lez-Durance, F-13108, France |
| City: | |
| Province/State: | |
| Country/Region: | France |
| Contact name (PI/Team): | Mohamed Barakat; Philippe Ortet |
| Contact email (PI/Helpdesk): | mohamed.barakat@cea.fr;philippe.ortet@cea.fr |
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P2TF: a comprehensive resource for analysis of prokaryotic transcription factors. [PMID: 23153078]
BACKGROUND: Transcription factors (TFs) are DNA-binding proteins that regulate gene expression by activating or repressing transcription. Some have housekeeping roles, while others regulate the expression of specific genes in response to environmental change. The majority of TFs are multi-domain proteins, and they can be divided into families according to their domain organisation. There is a need for user-friendly, rigorous and consistent databases to allow researchers to overcome the inherent variability in annotation between genome sequences. |