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Delila-PY, a Pipeline for Utilizing the Delila Suite of Software to Identify Potential DNA Binding Motifs
Kevin S Myers1, Michael Place1, Jacek Kominek1
1Wisconsin Energy Institute and Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Microbiology Resource Announcements
|April 16, 2021
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 for utilizing the Delila suite of software to identify DNA binding motifs.
