Publications

Export 32 results:
Author Title Type [ Year(Desc)]
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.
2018
S. A. Filichkin, Ansariola, M., Fraser, V. N., and Megraw, M., “Identification of transcription factors from NF-Y, NAC, and SPL families responding to osmotic stress in multiple tomato varieties”, Plant Science, vol. 274, pp. 441-450, 2018.
M. Ansariola, Megraw, M., and Koslicki, D., “IndeCut evaluates performance of network motif discovery algorithms”, Bioinformatics, vol. 34, no. 9, pp. 1514-1521, 2018.
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.
2019
C. Doherty, Friesner, J., Gregory, B., Loraine, A., Megraw, M., Provart, N., R Slotkin, K., Town, C., Assmann, S. M., Axtell, M., Berardini, T., Chen, S., Gehan, M., Huala, E., Jaiswal, P., Larson, S., Li, S., May, S., Michael, T., Pires, C., Topp, C., Walley, J., and Wurtele, E., “Arabidopsis bioinformatics resources: The current state, challenges, and priorities for the future”, Plant Direct, vol. 3, no. 1, 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.
2020
V. N. Fraser, Philmus, B., and Megraw, M., “Metabolomics analysis reveals both plant variety and choice of hormone treatment modulate vinca alkaloid production in Catharanthus roseus”, Plant Direct, vol. 4, no. 9, 2020.

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