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)
Abstract
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.