JUICE: a data management system that facilitates the analysis of large volumes of information in an EST project workflow

Mariano Latorre (1, 2) , Herman Silva (1, 2) , Juan Saba (1, 2) , Carito Guziolowski (3) , Paula Vizoso (1, 2) , Veronica Martinez (1, 2) , Jonathan Maldonado (1, 2) , Andrea Morales (1, 2) , Rodrigo Caroca (1, 2) , Veronica Cambiazo (4) , Reinaldo Campos-Vargas (5) , Mauricio Gonzalez (4) , Ariel Orellana (1, 2) , Julio Retamales (5) , Lee a Meisel (1, 2)

1 Millennium Nucleus in Plant Cell Biology and Plant Biotechnology Center
2 Laboratorio de Genética Molecular Vegetal, Departamento de Biología,
3 SYMBIOSE - Biological systems and models, bioinformatics and sequences
4 Laboratorio de Bioinformática y Expresión Génica
5 INIA La Platina

Expressed sequence tag (EST) analyses provide a rapid and economical means to identify candidate genes that may be involved in a particular biological process. These ESTs are useful in many Functional Genomics studies. However, the large quantity and complexity of the data generated during an EST sequencing project can make the analysis of this information a daunting task.

Domaines: Bio-informatique [q-bio.QM]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Mariano Latorre, Herman Silva, Juan Saba, Carito Guziolowski, Paula Vizoso, et al.. JUICE: a data management system that facilitates the analysis of large volumes of information in an EST project workflow. BMC Bioinformatics, 2006, 7, pp.513. ⟨10.1186/1471-2105-7-513⟩. ⟨inria-00180207⟩