Sucest-Fun Database

To integrate the immense amount of public data and those generated by our group a robust computational infrastructure and database has been developed.

The SUCEST-FUN database integrates the SUCEST sequences, promoters, CREs, expression data, agronomical, physiological and biochemical characterization of sugarcane cultivars.

Diniz, Augusto L. ; Ferreira, Sávio S. ; Ten-Caten, Felipe ; Margarido, Gabriel R.A. ; Dos Santos, João M. ; Barbosa, Geraldo V. De S. ; Carneiro, Monalisa S. ; Souza, Glaucia M. . Genomic resources for energy cane breeding in the post genomics era. Computational And Structural Biotechnology Journal, v. 17, p. 1404-1414, 2019.

Nishiyama-Jr, M.Y., Vicente F.F.R., Lembke, C.G., Sato, T. M., Dal-Bianco, M.L., Fandiño, R.A., Hotta, C.T. and Souza, G.M. The SUCEST-FUN Regulatory Network Database: Designing and Energy Grass. (2010). Proc. Int. Soc. Sugarcane Technol. 27. 

Gray, J., Bevan, M., Brutnell, T., Buell, R., Cone, K., Hake, S., Jackson, D., Kellogg, E., Lawrence, C., McCouch, S., Mockler, T., Moose, S., Paterson, A., Peterson, T., Rokshar, D., Souza, G. M., Springer, N., Stein, N., Timmermans, M., Wang, G.-L., Grotewold, E. (2009). Naming Transcription Factors. Plant Physiol. 149, 4-6.

Yilmaz, A., Nishiyama-Jr, M. Y., Garcia-Fuentes, B., Souza, G. M., Janies, D., Gray, J. and Grotewold, E. (2008). GRASSIUS: A Platform for Comparative Regulatory Genomics Across the Grasses. Plant Physiol. 149, 171–180.