Evidence map›Paper›PMID 29087517›Full record

ArticleNucleic acids research2018

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

Edgar Wingender, Torsten Schoeps, Martin Haubrock, Mathias Krull, Jürgen Dönitz

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed.

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  5. Cross-species consensus atlas of the primate basal ganglia.bioRxiv : the preprint server for biology · 2025
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Edgar WingenderInstitute of Bioinformatics, University Medical Center Göttingen, Georg August University, D-37077 Göttingen, Germany.
Torsten SchoepsInstitute of Bioinformatics, University Medical Center Göttingen, Georg August University, D-37077 Göttingen, Germany.
Martin HaubrockInstitute of Bioinformatics, University Medical Center Göttingen, Georg August University, D-37077 Göttingen, Germany.
Mathias KrullgeneXplain GmbH, D-38302 Wolfenbüttel, Germany.
Jürgen DönitzInstitute of Bioinformatics, University Medical Center Göttingen, Georg August University, D-37077 Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains (DBDs), available online at http://tfclass.bioinf.med.uni-goettingen.de. The classification scheme of TFClass was originally derived for human TFs and is expanded here to the whole taxonomic class of mammalia. Combining information from different resources, checking manually the retrieved mammalian TFs 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. As a result, TFClass now provides the corresponding sequence collection in FASTA format, sequence logos and phylogenetic trees at different classification levels, predicted TF binding sites for human, mouse, dog and cow genomes as well as links to several external databases. In particular, all those TFs that are also documented in the TRANSFAC® database (FACTOR table) have been linked and can be freely accessed. TRANSFAC® FACTOR can also be queried through an own search interface.

Indexed as

Databases, ProteinAnimalsBinding SitesCattleDogsHumansMammalsMicePhylogenyProtein DomainsTranscription FactorsUser-Computer InterfaceTranscription Factors

Identifiers

PMID29087517
PMCPMC5753292

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.