Onco-STS: a web-based laboratory information management system for sample and analysis tracking in oncogenomic...

Area of Science:

• Genomics
• Cancer Research
• Bioinformatics

Background:

• Routine sequencing of tumor samples (genomes, exomes, transcriptomes) is crucial for identifying cancer drivers.
• Systematic analysis of oncogenomic data requires robust tracking of sample-related metadata.
• Essential metadata includes project details, sequencing parameters, data locations, and analysis specifications.

Purpose of the Study:

• To develop and present a dedicated sample tracking system for oncogenomic studies.
• To provide researchers with easy access to critical sample and experimental data.
• To streamline data management in cancer genomics research.

Main Methods:

• Development of a web application named Onco-STS (Oncogenomic Sample Tracking System).
• Implementation using the Grails web application development framework.
• Integration of a database for storing and retrieving sample information.

Main Results:

• Onco-STS provides a centralized, accessible platform for oncogenomic study data.
• The system facilitates remote access, data submission, and updates.
• It efficiently stores comprehensive information on samples and associated analyses.

Conclusions:

• Onco-STS offers an efficient, secure, and user-friendly alternative to manual data handling.
• The system enhances researcher collaboration through simultaneous remote access.
• Being open-source and adaptable, Onco-STS is suitable for various laboratory needs.