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Novel Sequence Discovery by Subtractive Genomics
Published on: January 25, 2019
Using Semantic Web Technologies to Enable Cancer Genomics Discovery at Petabyte Scale
Jovan Cejovic1, Jelena Radenkovic1, Vladimir Mladenovic1
1Seven Bridges Genomics Inc., Cambridge, MA, USA.
A new Semantic Web-based Data Browser simplifies accessing and analyzing cancer genomics data. This tool enhances data discoverability and usability for researchers on the Cancer Genomics Cloud.
Area of Science:
- Bioinformatics
- Genomics
- Data Science
Background:
- Cancer genomics research generates vast, diverse datasets requiring advanced management.
- Existing data access methods can be complex and hinder analysis.
- Technologies for discoverability and usability of sequencing data are essential.
Purpose of the Study:
- To develop a user-friendly tool for accessing and analyzing cancer genomics data.
- To simplify the process of querying and retrieving specific data of interest.
- To improve data usability for researchers on the Cancer Genomics Cloud.
Main Methods:
- Development of a Semantic Web-based Data Browser.
- Implementation of ontology-driven queries for data retrieval.
- Deployment on the Seven Bridges Cancer Genomics Cloud (CGC).
Main Results:
- The Data Browser enables visual construction and execution of complex queries.
- It simplifies exploration and retrieval of large cancer genomics datasets.
- The tool facilitates collaborative research by enabling remote data access.
Conclusions:
- The Semantic Web-based Data Browser enhances accessibility and usability of cancer genomics data.
- Its architecture supports integration of diverse datasets beyond TCGA.
- The tool promotes collaborative research and data-driven discoveries in cancer genomics.
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