Video: Cloud-Based Tool Speeds Analysis of RNA Sequencing Data
S. Himmelstein | November 19, 2018A web application that expedites the analysis and publication of biomedical data from many months or years to mere minutes was developed by researchers from the Mount Sinai Icahn School of Medicine. Until now, the Source: Mount Sinai Icahn School of Medicineprimary method available to share biomedical research data has been through print publication in scientific journals. The new tool, Biojupies, relies on cloud technologies to analyze and visualize large amounts of data, such as that acquired by genome sequencing, and can transform the way research results are communicated.
RNA sequencing is the most common experimental method used to profile cells in biomedical research. Traditionally, sequencing analysis has required extensive computer programming skills and access to local high performance computing facilities, slowing down the speed at which biomedical data can be analyzed, shared and published.
With the availability of the freely accessible Biojupies, users can now upload and analyze their RNA sequencing data in a fraction of the time as done previously. The platform uses a cloud computing pipeline that reduces the cost of RNA-sequencing data processing to less than one cent per sample. The tool also produces a complete, open source, interactive report from the processed data allowing for 300,000 publicly available RNA sequencing datasets to be retrieved, reanalyzed and reused to bolster biomedical research.
Biojupies paves the way for researchers with no computational background to perform RNA sequencing analysis without the need to collaborate with bioinformaticians.