Strategies for annotation and curation of translational databases: the eTUMOUR project

The eTUMOUR (eT) multi-centre project gathered in vivo and ex vivo magnetic resonance (MR) data, as well as transcriptomic and clinical information from brain tumour patients, with the purpose of improving the diagnostic and prognostic evaluation of future patients. In order to carry this out, among...

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Veröffentlicht in:Database : the journal of biological databases and curation 2012, Vol.2012, p.bas035-bas035
Hauptverfasser: Julià-Sapé, Margarida, Lurgi, Miguel, Mier, Mariola, Estanyol, Francesc, Rafael, Xavier, Candiota, Ana Paula, Barceló, Anna, García, Alina, Martínez-Bisbal, M Carmen, Ferrer-Luna, Rubén, Moreno-Torres, Ángel, Celda, Bernardo, Arús, Carles
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container_title Database : the journal of biological databases and curation
container_volume 2012
creator Julià-Sapé, Margarida
Lurgi, Miguel
Mier, Mariola
Estanyol, Francesc
Rafael, Xavier
Candiota, Ana Paula
Barceló, Anna
García, Alina
Martínez-Bisbal, M Carmen
Ferrer-Luna, Rubén
Moreno-Torres, Ángel
Celda, Bernardo
Arús, Carles
description The eTUMOUR (eT) multi-centre project gathered in vivo and ex vivo magnetic resonance (MR) data, as well as transcriptomic and clinical information from brain tumour patients, with the purpose of improving the diagnostic and prognostic evaluation of future patients. In order to carry this out, among other work, a database--the eTDB--was developed. In addition to complex permission rules and software and management quality control (QC), it was necessary to develop anonymization, processing and data visualization tools for the data uploaded. It was also necessary to develop sophisticated curation strategies that involved on one hand, dedicated fields for QC-generated meta-data and specialized queries and global permissions for senior curators and on the other, to establish a set of metrics to quantify its contents. The indispensable dataset (ID), completeness and pairedness indices were set. The database contains 1317 cases created as a result of the eT project and 304 from a previous project, INTERPRET. The number of cases fulfilling the ID was 656. Completeness and pairedness were heterogeneous, depending on the data type involved.
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subjects Data Mining - methods
Database Management Systems
Databases as Topic
Humans
Internet
Magnetic Resonance Imaging
Metric System
Neoplasms - pathology
Original
Quality Control
Reproducibility of Results
Spectrum Analysis
Translational Medical Research
User-Computer Interface
Visualization
title Strategies for annotation and curation of translational databases: the eTUMOUR project
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