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

Background: 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. Results: In an attempt to make this task friendlier, we have developed JUICE, an open source data management system (Apache + PHP + MySQL on Linux), which enables the user to easily upload, organize, visualize and search the different types of data generated in an EST project pipeline. In contrast to other systems, the JUICE data management system allows a branched pipeline to be established, modified and expanded, during the course of an EST project. The web interfaces and tools in JUICE enable the users to visualize the information in a graphical, user-friendly manner. The user may browse or search for...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Mariano Latorre, Herman Silva, Juan Saba, Carito Guziolowski, Paula Vizoso, Veronica Martinez, Jonathan Maldonado, Andrea Morales, Rodrigo Caroca, Veronica Cambiazo, Reinaldo Campos-Vargas, Mauricio Gonzalez, Ariel Orellana, Julio Retamales, Lee A. Meisel
• Keywords: BMCBI 2006, EST Project, Sequence Information, User