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The Widening Gulf between Genomics Data Generation and Consumption: A Practical Guide to Big Data Transfer
Frank A Feltus1, Joseph R Breen2, Juan Deng3
1Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA.
Bioinformatics and Biology Insights
|November 17, 2015
Summary
Biology is generating exabyte-scale data due to high-throughput DNA sequencing. Efficient Big Data transfer across networks is crucial for managing genomics information and requires collaboration between biologists and IT professionals.
Area of Science:
- Genomics and Bioinformatics
- Computational Biology
- Data Science in Life Sciences
Background:
- High-throughput DNA sequencing has transformed life sciences into a Big Data discipline.
- Biology is approaching exabyte data ranges, necessitating new data management strategies.
- Current data transfer methods can negatively impact processing times for large genomics datasets.
Purpose of the Study:
- To provide a comprehensive overview of Big Data transfer in the context of genomics.
- To highlight the importance of efficient network data transfer, often overlooked by biologists.
- To bridge the communication gap between biologists and IT professionals regarding genomics data needs.
Main Methods:
- Review of data transfer networks, protocols, and applications.
- Discussion of data transfer security measures, including encryption, firewalls, and Science DMZ.
- Exploration of data flow control using software-defined networking.
- Examination of data storage, staging, archiving, and access strategies.
Main Results:
- Identified key challenges and solutions in transferring large-scale biological data.
- Outlined essential security considerations for sensitive genomic information.
- Presented strategies for optimizing data flow and management across networks.
- Emphasized the need for a unified approach to genomics data handling.
Conclusions:
- Biologists must understand Big Data transfer principles to effectively communicate their needs to IT departments.
- Recalibrating data processing paradigms is essential for the future of genomics research.
- Effective data transfer management is critical for timely and accurate biological discoveries.
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