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Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants.
Schläpfer P, Zhang P, Wang C, Kim T, Banf M, Chae L, Dreher K, Chavali AK, Nilo-Poyanco R, Bernard T, Kahn D, Rhee SY. Schläpfer P, et al. Among authors: banf m. Plant Physiol. 2017 Apr;173(4):2041-2059. doi: 10.1104/pp.16.01942. Epub 2017 Feb 22. Plant Physiol. 2017. PMID: 28228535 Free PMC article.
iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases.
Zheng Y, Jiao C, Sun H, Rosli HG, Pombo MA, Zhang P, Banf M, Dai X, Martin GB, Giovannoni JJ, Zhao PX, Rhee SY, Fei Z. Zheng Y, et al. Among authors: banf m. Mol Plant. 2016 Dec 5;9(12):1667-1670. doi: 10.1016/j.molp.2016.09.014. Epub 2016 Oct 5. Mol Plant. 2016. PMID: 27717919 Free article. No abstract available.
Hybrid allele-specific ChIP-seq analysis identifies variation in brassinosteroid-responsive transcription factor binding linked to traits in maize.
Hartwig T, Banf M, Prietsch GP, Zhu JY, Mora-Ramírez I, Schippers JHM, Snodgrass SJ, Seetharam AS, Huettel B, Kolkman JM, Yang J, Engelhorn J, Wang ZY. Hartwig T, et al. Among authors: banf m. Genome Biol. 2023 May 8;24(1):108. doi: 10.1186/s13059-023-02909-w. Genome Biol. 2023. PMID: 37158941 Free PMC article.
12 results