Benvinguts al Repositori Digital de la UPF

Visualitza Documents OpenAIRE (Open Access Infrastructure for Research in Europe) per autor "Agostini, Federico, 1985-"

Visualitza Documents OpenAIRE (Open Access Infrastructure for Research in Europe) per autor "Agostini, Federico, 1985-"

Ordena per: Ordre: Resultats:

  • Agostini, Federico, 1985-; Zanzoni, Andreas; Klus, Petr, 1985-; Marchese, Domenica, 1986-; Cirillo, Davide; Tartaglia, Gian Gaetano (Oxford University Press, 2013)
    SUMMARY: Here we introduce catRAPID omics, a server for large-scale calculations of protein-RNA interactions. Our web server allows (i) predictions at proteomic and transcriptomic level; (ii) use of protein and RNA sequences ...
  • Agostini, Federico, 1985-; Cirillo, Davide; Livi, Carmen Maria; Ponti, Riccardo delli; Tartaglia, Gian Gaetano (Oxford University Press, 2014)
    SUMMARY: Here we introduce ccSOL omics, a webserver for large-scale calculations of protein solubility. Our method allows (i) proteome-wide predictions; (ii) identification of soluble fragments within each sequences; (iii) ...
  • Calloni, Giulia; Chen, Taotao; Schermann, Sonya M.; Chang, Hung-chun; Genevaux, Pierre; Agostini, Federico, 1985-; Tartaglia, Gian Gaetano (Elsevier, 2012)
    Cellular chaperone networks prevent potentially toxic protein aggregation and ensure proteome integrity. Here, we used Escherichia coli as a model to understand the organization of these networks, focusing on the cooperation ...
  • Zanzoni, Andreas; Marchese, Domenica, 1986-; Agostini, Federico, 1985-; Bolognesi, Benedetta; Cirillo, Davide; Botta-Orfila, Maria; Livi, Carmen Maria; Rodriguez-Mulero, Silvia; Tartaglia, Gian Gaetano (Oxford University Press, 2013)
    Previous evidence indicates that a number of proteins are able to interact with cognate mRNAs. These autogenous associations represent important regulatory mechanisms that control gene expression at the translational level. ...
  • Agostini, Federico, 1985-; Cirillo, Davide; Delli Ponti, Riccardo; Tartaglia, Gian Gaetano (BioMed Central, 2014)
    BACKGROUND: The large amount of data produced by high-throughput sequencing poses new computational challenges. In the last decade, several tools have been developed for the identification of transcription and splicing ...