<p>JASPAR is only based on TF motifs, which are very short sequences and not enough to precisely tell you the true TF-motif relationships, especially when multiple TFs have complex logic gates regulating overlapped targets.</p>
<p>An alternative way is to find some transcriptomic data upon perturbation of each TF. The drawbacks are that the redundancy of TFs will mask a lot of targets, and that the up/down regulated genes may not be direct targets but targets of targets (of targets of targets...).</p>
<p>Another way is to find ChIP-seq data for TFs you care about, and hopefully you can find the right biological context. But still ChIP signal isn't exactly binding pattern, which in turn isn't exactly indicating target relationship.</p>
<p>Overall, it's a challenging task to know what are the true targets of a TF.</p>

CC BY-SA 4.0
2020-09-04T11:01:39.533Z
2020-09-04T11:01:39.533Z
Code42
<p>JASPAR is another useful transcription factor profiling database.</p>

<blockquote>
  <p>The JASPAR CORE contains a curated, non-redundant set of profiles, derived from published and experimentally defined transcription factor binding sites for eukaryotes. It should be used, when seeking models for specific factors or structural classes, or if experimental evidence is paramount.</p>
</blockquote>

<p><a href="http://jaspar.genereg.net/" rel="nofollow noreferrer">http://jaspar.genereg.net/</a></p>

CC BY-SA 4.0
2019-06-08T17:28:54.487Z
2019-06-08T17:28:54.487Z
rroutsong
<p>I want to get transcription factor targets for my list of genes (For Human and Mouse)</p>

<p>I have found ENCODE Transcription Factor Targets database (The link is given below). But I am looking for some other databases also if available. I will really appreciate if anyone can suggest any other database.</p>

<p><a href="http://amp.pharm.mssm.edu/Harmonizome/dataset/ENCODE+Transcription+Factor+Targets" rel="nofollow noreferrer">http://amp.pharm.mssm.edu/Harmonizome/dataset/ENCODE+Transcription+Factor+Targets</a></p>

<p>Thank you</p>

CC BY-SA 4.0
2019-06-07T10:09:24.847Z
What is the problem with ENCODE? I am aware of the existence of TRANSFAC, but I think is a non-free resource
jxx_fa
CC BY-SA 4.0
2019-06-11T11:25:52.593Z
@Plat My only problem with ENCODE is that I am not sure when was it last updated (I think in 2012)
Priya
<genomics><transcriptome><encode>
Transcription factor targets for Human and Mouse genes
# Transcription factor targets for Human and Mouse genes

(Asked by: username_0 on 2019-06-05)

I want to get transcription factor targets for my list of genes (For Human and Mouse)

I have found ENCODE Transcription Factor Targets database (The link is given below). But I am looking for some other databases also if available. I will really appreciate if anyone can suggest any other database.

<http://amp.pharm.mssm.edu/Harmonizome/dataset/ENCODE+Transcription+Factor+Targets>

Thank you

**Tags:** genomics, transcriptome, encode
> **Comments:**
> **username_1**: What is the problem with ENCODE? I am aware of the existence of TRANSFAC, but I think is a non-free resource  
> **username_0**: @Plat My only problem with ENCODE is that I am not sure when was it last updated (I think in 2012)  

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## 2 answers

### Answer by username_3 on 2019-06-08. Score: 2 | Accepted answer

JASPAR is another useful transcription factor profiling database.

> The JASPAR CORE contains a curated, non-redundant set of profiles, derived from published and experimentally defined transcription factor binding sites for eukaryotes. It should be used, when seeking models for specific factors or structural classes, or if experimental evidence is paramount.

<http://jaspar.genereg.net/>


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### Answer by username_2 on 2020-09-04. Score: 1

JASPAR is only based on TF motifs, which are very short sequences and not enough to precisely tell you the true TF-motif relationships, especially when multiple TFs have complex logic gates regulating overlapped targets.

An alternative way is to find some transcriptomic data upon perturbation of each TF. The drawbacks are that the redundancy of TFs will mask a lot of targets, and that the up/down regulated genes may not be direct targets but targets of targets (of targets of targets...).

Another way is to find ChIP-seq data for TFs you care about, and hopefully you can find the right biological context. But still ChIP signal isn't exactly binding pattern, which in turn isn't exactly indicating target relationship.

Overall, it's a challenging task to know what are the true targets of a TF.


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