TY - JOUR
AU1 - Palla, Piergiorgio
AU2 - Frau, Gianfranco
AU3 - Vargiu, Laura
AU4 - Rodriguez-Tomé, Patricia
AB - Background: In recent years, the experimental aspects of the laboratory activities have been growing in complexity in terms of amount and diversity of data produced, equipment used, of computer-based workflows needed to process and analyze the raw data generated. To enhance the level of quality control over the laboratory activities and efficiently handle the large amounts of data produced, a Laboratory Management Information System (LIMS) is highly-recommended. A LIMS is a complex software platform that helps researchers to have a complete knowledge of the laboratory activities at each step encouraging them to adopt good laboratory practices. Results: We have designed and implemented Quality and TRacEability Data System - QTREDS, a software platform born to address the specific needs of the CRS4 Sequencing and Genotyping Platform (CSGP). The system written in the Ruby programming language and developed using the Rails framework is based on four main functional blocks: a sample handler, a workflow generator, an inventory management system and a user management system. The wizard-based sample handler allows to manage one or multiple samples at a time, tracking the path of each sample and providing a full chain of custody. The workflow generator encapsulates a user-friendly JavaScript-based visual tool that 
TI - QTREDS: a Ruby on Rails-based platform for omics laboratories
JF - BMC Bioinformatics
DO - 10.1186/1471-2105-15-S1-S13
DA - 2014-01-10
UR - https://www.deepdyve.com/lp/springer-journals/qtreds-a-ruby-on-rails-based-platform-for-omics-laboratories-rVpgCfZXYy
SP - 1
EP - 11
VL - 15
IS - 1
DP - DeepDyve
ER -