Delila-PY, a Pipeline for Utilizing the Delila Suite of Software to Identify Potential DNA Binding Motifs

Author:

Myers Kevin S.1ORCID,Place Michael1,Kominek Jacek1,Noguera Daniel R.12,Donohue Timothy J.13ORCID

Affiliation:

1. Wisconsin Energy Institute and Great Lakes Bioenergy Research Center, University of Wisconsin—Madison, Madison, Wisconsin, USA

2. Department of Civil & Environmental Engineering, University of Wisconsin—Madison, Madison, Wisconsin, USA

3. Department of Bacteriology, University of Wisconsin—Madison, Madison, Wisconsin, USA

Abstract

Predicting potential DNA binding motifs is a critical part of understanding gene expression across all domains of life. Here, we report the development of Delila-PY, an easy-to-use pipeline to utilize the Delila suite to identify DNA binding motifs.

Funder

U.S. Department of Energy

Publisher

American Society for Microbiology

Subject

Genetics,Immunology and Microbiology (miscellaneous),Molecular Biology

Reference13 articles.

1. BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes;Liu X;Pac Symp Biocomput,2001

2. MEME SUITE: tools for motif discovery and searching

3. A design for computer nucleic-acid-sequence storage, retrieval, and manipulation

4. Delila system tools

5. Sequence logos: a new way to display consensus sequences

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