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M
M. Megraw, Baev, V., Rusinov, V., Jensen, S. T., Kalantidis, K., and Hatzigeorgiou, A. G., MicroRNA promoter element discovery in Arabidopsis., RNA, vol. 12, no. 9, pp. 1612-9, 2006.
L. Zhang, Huang, J., Yang, N., Greshock, J., Megraw, M. S., Giannakakis, A., Liang, S., Naylor, T. L., Barchetti, A., Ward, M. R., Yao, G., Medina, A., O'brien-Jenkins, A., Katsaros, D., Hatzigeorgiou, A., Gimotty, P. A., Weber, B. L., and Coukos, G., microRNAs exhibit high frequency genomic alterations in human cancer., Proc Natl Acad Sci U S A, vol. 103, no. 24, pp. 9136-41, 2006.
L. Zhang, Huang, J., Yang, N., Greshock, J., Megraw, M. S., Giannakakis, A., Liang, S., Naylor, T. L., Barchetti, A., Ward, M. R., Yao, G., Medina, A., O'brien-Jenkins, A., Katsaros, D., Hatzigeorgiou, A., Gimotty, P. A., Weber, B. L., and Coukos, G., microRNAs exhibit high frequency genomic alterations in human cancer., Proc Natl Acad Sci U S A, vol. 103, no. 24, pp. 9136-41, 2006.
P. Alexiou, Vergoulis, T., Gleditzsch, M., Prekas, G., Dalamagas, T., Megraw, M., Grosse, I., Sellis, T., and Hatzigeorgiou, A. G., miRGen 2.0: a database of microRNA genomic information and regulation., Nucleic Acids Res, vol. 38, no. Database issue, pp. D137-41, 2010.
M. Megraw, Sethupathy, P., Corda, B., and Hatzigeorgiou, A. G., miRGen: a database for the study of animal microRNA genomic organization and function., Nucleic Acids Res, vol. 35, no. Database issue, pp. D149-55, 2007.
N
M. G. Ivanchenko and Megraw, M., NanoCAGE-XL: An Approach to High-Confidence Transcription Start Site Sequencing, Methods in Molecular Biology, vol. 1830, pp. 225-237, 2018.
J. S. Cumbie, Ivanchenko, M. G., and Megraw, M., NanoCAGE-XL and CapFilter: an approach to genome wide identification of high confidence transcription start sites., BMC Genomics, vol. 16, p. 597, 2015.
J. Friesner, Assmann, S. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., C. Buell, R., Bucksch, A., Busch, W., Demura, T., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Falter-Braun, P., Gehan, M. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R. J. Cody, Megraw, M., Meyers, B. C., Murray, J. A. H., Provart, N. J., Rhee, S., Smith, R., Spalding, E. P., Taylor, C., Teal, T. K., Tor, ii, K. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., and Brady, S. M., The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology, Plant Physiology, vol. 175, pp. 1499-1509, 2017.
J. Friesner, Assmann, S. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., C. Buell, R., Bucksch, A., Busch, W., Demura, T., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Falter-Braun, P., Gehan, M. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R. J. Cody, Megraw, M., Meyers, B. C., Murray, J. A. H., Provart, N. J., Rhee, S., Smith, R., Spalding, E. P., Taylor, C., Teal, T. K., Tor, ii, K. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., and Brady, S. M., The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology, Plant Physiology, vol. 175, pp. 1499-1509, 2017.
J. Friesner, Assmann, S. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., C. Buell, R., Bucksch, A., Busch, W., Demura, T., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Falter-Braun, P., Gehan, M. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R. J. Cody, Megraw, M., Meyers, B. C., Murray, J. A. H., Provart, N. J., Rhee, S., Smith, R., Spalding, E. P., Taylor, C., Teal, T. K., Tor, ii, K. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., and Brady, S. M., The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology, Plant Physiology, vol. 175, pp. 1499-1509, 2017.
J. Friesner, Assmann, S. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., C. Buell, R., Bucksch, A., Busch, W., Demura, T., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Falter-Braun, P., Gehan, M. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R. J. Cody, Megraw, M., Meyers, B. C., Murray, J. A. H., Provart, N. J., Rhee, S., Smith, R., Spalding, E. P., Taylor, C., Teal, T. K., Tor, ii, K. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., and Brady, S. M., The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology, Plant Physiology, vol. 175, pp. 1499-1509, 2017.
J. Friesner, Assmann, S. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., C. Buell, R., Bucksch, A., Busch, W., Demura, T., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Falter-Braun, P., Gehan, M. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R. J. Cody, Megraw, M., Meyers, B. C., Murray, J. A. H., Provart, N. J., Rhee, S., Smith, R., Spalding, E. P., Taylor, C., Teal, T. K., Tor, ii, K. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., and Brady, S. M., The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology, Plant Physiology, vol. 175, pp. 1499-1509, 2017.
P
T. Morton, Petricka, J., Corcoran, D. L., Li, S., Winter, C. M., Carda, A., Benfey, P. N., Ohler, U., and Megraw, M., Paired-end analysis of transcription start sites in Arabidopsis reveals plant-specific promoter signatures., Plant Cell, vol. 26, no. 7, pp. 2746-60, 2014.
T. Morton, Petricka, J., Corcoran, D. L., Li, S., Winter, C. M., Carda, A., Benfey, P. N., Ohler, U., and Megraw, M., Paired-end analysis of transcription start sites in Arabidopsis reveals plant-specific promoter signatures., Plant Cell, vol. 26, no. 7, pp. 2746-60, 2014.
S. Ha, Dimitrova, E., Hoops, S., Altarawy, D., Ansariola, M., Deb, D., Glazebrook, J., Hillmer, R., Shahin, H., Katagiri, F., McDowell, J., Megraw, M., Setubal, J., Tyler, B. M., and Laubenbacher, R., PlantSimLab-a modeling and simulation web tool for plant biologists, BMC Bioinformatics, vol. 20, no. 1, pp. 1-11, 2019.
S. Ha, Dimitrova, E., Hoops, S., Altarawy, D., Ansariola, M., Deb, D., Glazebrook, J., Hillmer, R., Shahin, H., Katagiri, F., McDowell, J., Megraw, M., Setubal, J., Tyler, B. M., and Laubenbacher, R., PlantSimLab-a modeling and simulation web tool for plant biologists, BMC Bioinformatics, vol. 20, no. 1, pp. 1-11, 2019.
J. J. Petricka, Schauer, M. A., Megraw, M., Breakfield, N. W., J Thompson, W., Georgiev, S., Soderblom, E. J., Ohler, U., Moseley, M. Arthur, Grossniklaus, U., and Benfey, P. N., The protein expression landscape of the Arabidopsis root., Proc Natl Acad Sci U S A, vol. 109, no. 18, pp. 6811-8, 2012.
J. J. Petricka, Schauer, M. A., Megraw, M., Breakfield, N. W., J Thompson, W., Georgiev, S., Soderblom, E. J., Ohler, U., Moseley, M. Arthur, Grossniklaus, U., and Benfey, P. N., The protein expression landscape of the Arabidopsis root., Proc Natl Acad Sci U S A, vol. 109, no. 18, pp. 6811-8, 2012.
S
M. Megraw, Cumbie, J. S., Ivanchenko, M. G., and Filichkin, S. A., Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants., Plant Cell, vol. 28, no. 2, pp. 286-303, 2016.
S. M. Brady, Zhang, L., Megraw, M., Martinez, N. J., Jiang, E., Yi, C. S., Liu, W., Zeng, A., Taylor-Teeples, M., Kim, D., Ahnert, S., Ohler, U., Ware, D., Walhout, A. J. M., and Benfey, P. N., A stele-enriched gene regulatory network in the Arabidopsis root., Mol Syst Biol, vol. 7, p. 459, 2011.
S. M. Brady, Zhang, L., Megraw, M., Martinez, N. J., Jiang, E., Yi, C. S., Liu, W., Zeng, A., Taylor-Teeples, M., Kim, D., Ahnert, S., Ohler, U., Ware, D., Walhout, A. J. M., and Benfey, P. N., A stele-enriched gene regulatory network in the Arabidopsis root., Mol Syst Biol, vol. 7, p. 459, 2011.
M. Megraw, Mukherjee, S., and Ohler, U., Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits., Genome Biol, vol. 14, no. 8, p. R85, 2013.
M. Megraw, Mukherjee, S., and Ohler, U., Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits., Genome Biol, vol. 14, no. 8, p. R85, 2013.

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