Sample identification and tracking in biobanks
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Trinity College (Dublin, Ireland). School of Computer Science & Statistics
Access
openAccess
Embargo end date
Citation
Atieh Zarabzadeh, 'Sample identification and tracking in biobanks', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010, pp 354
Abstract
Biobanks or bio-repositories facilitate the storage and maintenance of biological samples and data to support discovery of biomarkers, therapeutic targets, and the underlying causes of diseases. Such discoveries require high quality samples that are supported by their associated data. While samples and their data are of crucial importance, they are expensive to collect and maintain. Samples and data are subject to various procedures from data collection from the sample donors, to clinical laboratory analyses, to processing in the research laboratory (omic procedures) and utimately to knowledge discovery.
Description
Endorsement
Review
Supplemented By
Referenced By
Qualification name: Doctor of Philosophy (Ph.D.)
Publisher: Trinity College (Dublin, Ireland). School of Computer Science & Statistics
Type of material: thesis

