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

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

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

10 Citas (Scopus)

Resumen

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 sequences and/or sequence information within all the branches of the pipeline. The user can search using terms associated with the sequence name, annotation or other characteristics stored in JUICE and associated with sequences or sequence groups. Groups of sequences can be created by the user, stored in a clipboard and/or downloaded for further analyses. Different user profiles restrict the access of each user depending upon their role in the project. The user may have access exclusively to visualize sequence information, access to annotate sequences and sequence information, or administrative access. Conclusion: JUICE is an open source data management system that has been developed to aid users in organizing and analyzing the large amount of data generated in an EST Project workflow. JUICE has been used in one of the first functional genomics projects in Chile, entitled "Functional Genomics in nectarines: Platform to potentiate the competitiveness of Chile in fruit exportation". However, due to its ability to organize and visualize data from external pipelines, JUICE is a flexible data management system that should be useful for other EST/ Genome projects. The JUICE data management system is released under the Open Source GNU Lesser General Public License (LGPL). JUICE may be download from http://genoma.unab.cl/juice_system/ or http://www.genomavegetal.cl/juice_system/.

Idioma originalInglés
Número de artículo513
PublicaciónBMC Bioinformatics
Volumen7
DOI
EstadoPublicada - 23 nov 2006

Áreas temáticas de ASJC Scopus

  • Biología estructural
  • Bioquímica
  • Biología molecular
  • Informática aplicada
  • Matemáticas aplicadas

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