THANK YOU FOR SUBSCRIBING
Odessa stores sequencing data — commonly FASTQ/FASTA — into the cloud and preserves its metadata and location in a Relational Database Server (RDS) to manage vast amounts of sequencing data sourced from public or custom NGS datasets.
FREMONT, CA: Second Genome, a tech-enabled biotechnology company that exploits microbial genetic insights to develop transformative precision therapies and biomarkers, announced today that it would demo Odessa, proprietary significant data analytics software which is foundational to the Company's multi-disciplinary microbiome discovery and development platform, at the virtual Microbiome Data Congress on June 9–10, 2021.
Odessa, part of the Company's sg-4sight platform, manages Next Generation Sequencing (NGS) datasets faster and more efficiently than publicly available tools. Allowing the Company to process large amounts of data, conduct analytics, and accelerate the identification of proprietary biomarkers in various therapeutic areas, including discovery programs and immuno-oncology.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
"With Odessa's fast speed, built-in quality controls and scale of data processing, coupled with a full suite of analytics and machine learning tools, Second Genome has built the world's largest curated and harmonized microbial genomics database which has multiple discovery applications for Second Genome and its collaborators," said Karim Dabbagh, Ph.D., President and Chief Executive Officer of Second Genome. "Analysis of diverse, expansive and real-world patient data sets is essential to maximize the potential of microbial insights to better understand the diversity of the microbiome and mine for predictors of therapy response and novel therapeutics. Odessa allows us to not only keep pace with the rapid growth of available microbiome sequence data but also contextualize the data to optimize biomarker targeting and other discovery initiatives."
Odessa stores sequencing data — commonly FASTQ/FASTA — into the cloud and preserves its metadata and location in a Relational Database Server (RDS) to manage vast amounts of sequencing data sourced from public or custom NGS datasets. While most RDS management is semi-manual, Odessa enables the Company to fully automate the downloading, quality checking, and processing of datasets from various sources.
More in News