Welcome to the InfoSci Platform
Reference Hub1
LAS: A Bio-Clinical Integrated Laboratory Information System for Translational Data Management

LAS: A Bio-Clinical Integrated Laboratory Information System for Translational Data Management

Alessandro Fiori, Alberto Grand, Emanuele Geda, Domenico Schioppa, Francesco G. Brundu, Andrea Mignone, Andrea Bertotti
Copyright: © 2018 |Pages: 38
ISBN13: 9781522530855|ISBN10: 1522530851|EISBN13: 9781522530862
DOI: 10.4018/978-1-5225-3085-5.ch003
Cite Chapter Cite Chapter

MLA

Fiori, Alessandro, et al. "LAS: A Bio-Clinical Integrated Laboratory Information System for Translational Data Management." Emerging Developments and Practices in Oncology, edited by Issam El Naqa, IGI Global, 2018, pp. 56-93. https://doi.org/10.4018/978-1-5225-3085-5.ch003

APA

Fiori, A., Grand, A., Geda, E., Schioppa, D., Brundu, F. G., Mignone, A., & Bertotti, A. (2018). LAS: A Bio-Clinical Integrated Laboratory Information System for Translational Data Management. In I. El Naqa (Ed.), Emerging Developments and Practices in Oncology (pp. 56-93). IGI Global. https://doi.org/10.4018/978-1-5225-3085-5.ch003

Chicago

Fiori, Alessandro, et al. "LAS: A Bio-Clinical Integrated Laboratory Information System for Translational Data Management." In Emerging Developments and Practices in Oncology, edited by Issam El Naqa, 56-93. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3085-5.ch003

Export Reference

Mendeley
Favorite

Abstract

Rapid technological evolution is providing biomedical research laboratories with huge amounts of complex and heterogeneous data. The LIMS project Laboratory Assistant Suite (LAS), started by our Institution, aims to assist researchers throughout all of their laboratory activities, providing graphical tools to support decision-making tasks and building complex analyses on integrated data. Thanks to a clinical data management module, linking biological samples analysed by translational research with the originating patients and their clinical history, it can effectively provide insight into tumor development. Furthermore, the LAS tracks molecular experiments and allows automatic annotation of biological samples with their molecular results. A genomic annotation module makes use of semantic web technologies to represent relevant concepts from the genomic domain. The LAS system has helped improve the overall quality of the data and broadened the spectrum of interconnections among the data, offering novel perspectives to the biomedical analyst.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.