Document Detail


SPRECware: software tools for Standard PREanalytical Code (SPREC) labeling - effective exchange and search of stored biospecimens.
MedLine Citation:
PMID:  23032579     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Biobanks provide stored material to basic, translational, and epidemiological research and this material should be transferred without institute-dependent intrinsic bias.
The ISBER Biospecimen Science Working Group has released a "Standard PREanalytical Code" (SPREC), which is a proposal for a standard coding of the preanalytical options that have been adopted in order to track and make explicit the preanalytical variations in the collection, preparation, and storage of specimens.
In this paper we address 2 issues arising in any biobank or biolaboratory aiming at adopting SPREC: (i) reducing the burden required to adopt this standard coding, and (ii) maximize the immediate benefits of this adoption by providing a free, dedicated software tool.
We propose SPRECware, a vision encompassing tools and solutions for the best exploitation of SPREC based on information technology (www.sprecware.org).
As a first step, we make available SPRECbase, a software tool useful for generating, storing, managing, and exchanging SPREC-related information associated to specimens.
Adopting SPREC is useful both for internal purposes (such as finding the samples having some given preanalytical features), and for exchanging the preanalytical information associated to biological samples between Laboratory Information Systems. In case of a common adoption of this coding, it would be easy to find out whether and where, among the participating Biological Resource Centers, the specimens for a given study are available in order to carry out a planned experiment.
Authors:
Umberto Nanni; Fotini Betsou; Silvia Riondino; Luisa Rossetti; Antonella Spila; Maria Giovanna Valente; David Della-Morte; Raffaele Palmirotta; Mario Roselli; Patrizia Ferroni; Fiorella Guadagni
Related Documents :
24596449 - Natural organic matter transport modeling with a continuous time random walk approach.
17998649 - Analytical approach to estimate normal tissue complication probability using best fit o...
17132199 - Proposed hub-network model for tissue procurement: the case of arizona.
16281299 - Geometrical validation of intravascular ultrasound radiofrequency data analysis (virtua...
24479779 - Input statistics and hebbian cross-talk effects.
23155379 - Phylogeny and evolutionary patterns in the dwarf crayfish subfamily (decapoda: cambarel...
17611539 - Co-mimics have a mutualistic relationship despite unequal defences.
24596449 - Natural organic matter transport modeling with a continuous time random walk approach.
23864289 - Matched survival data in a co-twin control design.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-3
Journal Detail:
Title:  The International journal of biological markers     Volume:  -     ISSN:  1724-6008     ISO Abbreviation:  Int. J. Biol. Markers     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-3     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8712411     Medline TA:  Int J Biol Markers     Country:  -    
Other Details:
Languages:  ENG     Pagination:  0     Citation Subset:  -    
Affiliation:
Department of Computer, Control and Management Engineering "Antonio Ruberti", "Sapienza" University, Rome - Italy.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Using Biomarkers to "Guide" Heart Failure Management: Current Perspectives and Future Directions.
Next Document:  Reduction of metal ions by boranephosphonate DNA.