HAL - INRIA :: [inria-00180207, version 1] JUICE: a data management system that facilitates the analysis of large volumes of information in an EST project workflow

inria-00180207, version 1

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 ()^a^, 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

BMC Bioinformatics 7 (2006) 513

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.

a – Comisión Nacional de Investigación en Ciencia y Tecnología
1: Millennium Nucleus in Plant Cell Biology and Plant Biotechnology Center
Universidad Andrés Bello
2: Laboratorio de Genética Molecular Vegetal, Departamento de Biología,
Universidad de Chile
3: SYMBIOSE (INRIA - IRISA)
CNRS : UMR6074 – INRIA – INSA Rennes – Université de Rennes 1
4: Laboratorio de Bioinformática y Expresión Génica
Universidad de Chile
5: INIA La Platina
Ministerio de Agricultura

inria-00180207, version 1
http://hal.inria.fr/inria-00180207
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From: Carito Guziolowski <>
Submitted on: Thursday, 18 October 2007 10:58:58
Updated on: Friday, 19 October 2007 11:37:40

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DOI: 10.1186/1471-2105-7-513

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