• Improving clustering with metabolic pathway data 

      Milone, Diego Humberto; Stegmayer, Georgina; Lopez, Mariana Gabriela; Kamenetzky, Laura; Carrari, Fernando (BMC, 2014-04)
      Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. This procedure helps finding functionally ...
    • Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement 

      Lopez, Mariana Gabriela; Zanor, María Inés; Pratta, Guillermo Raúl; Stegmayer, Georgina; Boggio, Silvana Beatriz; Conte, Mariana; Bermudez Salazar, Luisa; Coluccio Leskow, Carla; Rodríguez, Gustavo Rubén; Picardi, Liliana Amelia; Zorzoli, Roxana; Fernie, Alisdair R.; Milone, Diego Humberto; Asis, Ramón; Valle, Estela Marta; Carrari, Fernando (Springer, 2015-10)
      Elucidating the determinants of tomato nutritional value and fruit quality to introduce improved varieties on the international market represents a major challenge for crop biotechnology. Different strategies can be ...