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PlantTFDB | Toward a central hub for transcription factors and regulatory interactions in plants

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A database of functional and evolutionary study of plant transcription factors. With the version 4.0, PlantTFDB offers 320 370 TFs from 165 species. Three types of annotation provide more directly clues to investigate functional mechanisms underlying: (i) a set of high-quality, non-redundant TF binding motifs derived from experiments, (ii) multiple types of regulatory elements identified from highthroughput sequencing data and (iii) regulatory interactions curated from literature and inferred by combining TF binding motifs and regulatory elements.

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5 user reviews

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5 user reviews

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Emmanuel Quevillon's avatar image Emmanuel Quevillon's country flag

Emmanuel Quevillon

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Hi Mariette,

Service is now back in business!
Regards
Emmanuel

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PlantRegMap

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Dear Mariette Ferreira,

Due to the network connection issue of Peking University, our resources are not available out of Peking University currently and will be recovered soon. Sorry for any inconveniences causes.

Best,
Jinpu

Mariette Ferreira's avatar image Mariette Ferreira's country flag

Mariette Ferreira

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The database is not available. I cannot reach the website.

Z's avatar image

Z

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very useful resource, not only for plant transcription factors, but also for regulation data and analsyis

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good

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very good

PlantTFDB forum

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PlantTFDB classification

  • Plants

PlantTFDB specifications

Unique identifier:
OMICS_00560
Restrictions to use:
None
Community driven:
No
User data submission:
Not allowed
Maintained:
Yes
Name:
Plant Transcription Factor Database
Database management system:
MySQL
Data access:
File download, Browse
Version:
4.0

PlantTFDB support

Documentation

Maintainer

  • PlantRegMap Team <>

Credits

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Publications

Institution(s)

State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

Funding source(s)

This work was supported by National Natural Science Foundation of China [1470330]; International Collaboration Program for Proteome Biological Big Data and Standard System [2014DFB30030]; State Key Laboratory of Protein and Plant Gene Research; China Postdoctoral Science Foundation Grant [2014M560017, 2015T80015]; Postdoctoral Fellowship at Peking Tsinghua Center for Life Sciences; National Program for Support of Top-notch Young Professionals.

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