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Items: 5


Identification of the expressome by machine learning on omics data.

Sartor RC, Noshay J, Springer NM, Briggs SP.

Proc Natl Acad Sci U S A. 2019 Sep 3;116(36):18119-18125. doi: 10.1073/pnas.1813645116. Epub 2019 Aug 16.


Analysis of differential gene expression and alternative splicing is significantly influenced by choice of reference genome.

Slabaugh E, Desai JS, Sartor RC, Lawas LMF, Jagadish SVK, Doherty CJ.

RNA. 2019 Jun;25(6):669-684. doi: 10.1261/rna.070227.118. Epub 2019 Mar 14.


Improving Gene Regulatory Network Inference by Incorporating Rates of Transcriptional Changes.

Desai JS, Sartor RC, Lawas LM, Jagadish SVK, Doherty CJ.

Sci Rep. 2017 Dec 8;7(1):17244. doi: 10.1038/s41598-017-17143-1.


Integration of omic networks in a developmental atlas of maize.

Walley JW, Sartor RC, Shen Z, Schmitz RJ, Wu KJ, Urich MA, Nery JR, Smith LG, Schnable JC, Ecker JR, Briggs SP.

Science. 2016 Aug 19;353(6301):814-8. doi: 10.1126/science.aag1125.


Maize death acids, 9-lipoxygenase-derived cyclopente(a)nones, display activity as cytotoxic phytoalexins and transcriptional mediators.

Christensen SA, Huffaker A, Kaplan F, Sims J, Ziemann S, Doehlemann G, Ji L, Schmitz RJ, Kolomiets MV, Alborn HT, Mori N, Jander G, Ni X, Sartor RC, Byers S, Abdo Z, Schmelz EA.

Proc Natl Acad Sci U S A. 2015 Sep 8;112(36):11407-12. doi: 10.1073/pnas.1511131112. Epub 2015 Aug 24.

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