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Authordc.contributor.authorLatorre, Mariano 
Authordc.contributor.authorSilva Ascencio, Herman es_CL
Authordc.contributor.authorSaba, Juan es_CL
Authordc.contributor.authorGuziolowski, Carito es_CL
Authordc.contributor.authorVizoso, Paula es_CL
Authordc.contributor.authorMartínez, Verónica es_CL
Authordc.contributor.authorMaldonado, Jonathan es_CL
Authordc.contributor.authorMorales, Andrea es_CL
Authordc.contributor.authorCaroca, Rodrigo es_CL
Authordc.contributor.authorCambiazo Ayala, Liliana es_CL
Authordc.contributor.authorCampos Vargas, Reinaldo es_CL
Authordc.contributor.authorGonzález Canales, Mauricio es_CL
Authordc.contributor.authorOrellana López, Ariel es_CL
Authordc.contributor.authorRetamales Aranda, Julio es_CL
Authordc.contributor.authorMeisel, Lee es_CL
Admission datedc.date.accessioned2009-04-14T17:16:54Z
Available datedc.date.available2009-04-14T17:16:54Z
Publication datedc.date.issued2006-11-23
Cita de ítemdc.identifier.citationBMC BIOINFORMATICS Volume: 7 Article Number: 513 Published: NOV 23 2006en
Identifierdc.identifier.issn1471-2105
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/118816
Abstractdc.description.abstractBackground: 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).en
Lenguagedc.language.isoenen
Publisherdc.publisherBIOMED CENTRAL LTDen
Keywordsdc.subjectSINGLE NUCLEOTIDE POLYMORPHISMSen
Títulodc.titleJUICE: a data management system that facilitates the analysis of large volumes of information in an EST project workflowen
Document typedc.typeArtículo de revista


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