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Hao S, Garza AB, Li Y et al. A framework for DNA binding motifs prediction for nontraditional model organism transcription factors [version 1; not peer reviewed]. F1000Research 2024, 13:1214 (slides) (https://doi.org/10.7490/f1000research.1119943.1)
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A framework for DNA binding motifs prediction for nontraditional model organism transcription factors

Stephanie Hao, Anthony B Garza, Yeting Li, Nofal A Ouardaoui, Cynthia A Bradham1
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Published 11 Oct 2024

A framework for DNA binding motifs prediction for nontraditional model organism transcription factors

[version 1; not peer reviewed]

Stephanie Hao, Anthony B Garza, Yeting Li, Nofal A Ouardaoui, Cynthia A Bradham1
Author Affiliations
1 Biology, Boston University Department of Biology, Boston, Massachusetts, USA
Presented at
Intelligent Systems for Molecular Biology Conference (ISMB), 2025
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Genomics, Gene regulatory networks, DNA binding motifs, Modular prediction algorithm, Evolutionary biology, DNA sequence analysis, Bioinformatics, Transcription factor binding sites, Computational biology, Systems biology
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