CollecTF is awesome.
Is there a database which provides information on transcription factor binding sites in PROKARYOTES? In this forum I have seen recommendations for JASPAR and TRANSFAC, but both of them seem to include data on eukaryotic TFs only.
More specifically, I am looking for a resource where I can find recognition sequences of sigma factors. E. coli would be great, more taxa even greater.
Thanks for your help!
10 answers
Prodoric (http://www.prodoric.de/) is a good database for Prokaryotic gene regulation. It covers quite a few taxa including E. coli.
You might find this reference interesting as general review of TF databases (inc. bacterial):
Charoensawan V, Wilson D, Teichmann SA. Genomic repertoires of DNA-binding transcription factors across the tree of life. Nucleic Acids Res. 2010 Nov 1;38(21):7364-77. PubMed PMID: 20675356
If you are working with Corynebacteria, E. coli, or Mycobacterium tubercolosis try CoryneRegNet
RhizoRegNet is a similar database for Rhizobia
One of the coolest features of the RegNets is the JavaApplet for rendering regulatory networks. Click the GraphVis button, after searching for a regulatory gene.
If you work with E. coli in particular, you can find a great amount of very useful data here: RegulonDB download page. Hope this helps.
And here is a new algorithm for de-novo prediction of TFBS in prokaryotes. They also use some of the databases mentioned here before as sources for their validation.
I have more or less the same problem. Nevertheless, I found the model organism of my bacteria and I can see the information on it. The big deal is I can just see the information and search the similar sequence manually but not compare my file including my genome and obtain the results automatically. That take very long time and is not possible of all do. Someone has a method to do this?
you should probably rephrase this as a new question - I'm afraid no one is going to see it down here.
RegPrecise (http://regprecise.lbl.gov) is a web resource for collection, visualization and analysis of transcriptional regulons reconstructed by comparative genomics.
quite awesome!
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