Genomic data is the DNA data of organisms. In the biology and computer science subdiscipline of bioinformatics, genomic data is collected, stored, and processed for analysis. Genomic data often requires a large amount of storage.
Genomics research is expected to generate many exabytes of data over the next decade. With biomedical research projects growing almost exponentially, genomic dataset volume is following suit. Scientists and researchers will increasingly need larger data storage capacity and increasing compute power to extract informations from these larger datasets. The field of genomics is expanding, with different branches of precision medicine involving the integration of various data.
Genomic Data Science
As the genomic data grows in importance in the healthcare and life sciences fields, it is increasingly important to be able to gain information and insights from genomic datasets. The practice of genomic data science addresses this need by using statistical and computational methods that allow researchers to decode DNA sequences. Therefore, genomic data science is the field that applies statistical analysis to the genome to help fuel new medical discoveries and breakthroughs.
Snowflake and Genomic Data
By embracing cloud platforms such the Snowflake Data Cloud, healthcare and life sciences organizations can drive innovation with large-scale genomic analytics and share data sets with research partners and other important stakeholders to advance medical and life sciences research. Snowflake's Cloud Data Platform delivers the performance, flexibility, and near-infinite scalability to easily load, integrate, analyze, and securely share data and can power a near-unlimited number of concurrent workloads.
To learn more, download our ebook, 5 Ways Data Is Transforming Healthcare and Life Sciences.