RTFBSDB: an integrated framework for transcription factor binding site analysis.
Transcription factors (TFs) regulate complex programs of gene transcription by binding to short DNA sequence motifs. Here, we introduce rtfbsdb, a unified framework that integrates a database of more than 65 000 TF binding motifs with tools to easily and efficiently scan target genome sequences. Rtfbsdb clusters motifs with similar DNA sequence specificities and integrates RNA-seq or PRO-seq data to restrict analyses to motifs recognized by TFs expressed in the cell type of interest. Our package allows common analyses to be performed rapidly in an integrated environment.



rtfbsdb available at (https://github.com/Danko-Lab/rtfbs_db).



dankoc@gmail.com



Supplementary data are available at Bioinformatics online.
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Zhong
Z
Wang
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
André L
AL
Martins
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Charles G
CG
Danko
D000818:Animals; D001665:Binding Sites; D019295:Computational Biology; D016678:Genome; D006801:Humans; D059372:Nucleotide Motifs; D011485:Protein Binding; D014157:Transcription Factors / Q000737:chemistry
D014157:Transcription Factors