100% Automation and Cost Saving of ~$1.34M in Single-cell Data Compute and Processing
Key Highlights
A US-based cancer diagnostics company sought to leverage proprietary data to identify diagnostic markers for AML.
They wanted to streamline their data management workflow, from ingestion, preprocessing, and curation to insight generation, for raw Single Cell Multiome (scRNA + scATAC) data.
Major challenges included the lack of templatized solutions for single-cell multiome data ingestion, processing and storage, the large size of each dataset, and the lack of infrastructure to draw effective insights from this data.
Elucidata’s partnership offered them a well-rounded solution to their problems by offering customized pipelines, a robust, flexible and scalable compute infrastructure, and a tailor-made web app to support their data workflow end-to-end.
100% Automation and Cost Saving of ~$1.34M in Single-cell Data Compute and Processing
Key Highlights
A US-based cancer diagnostics company sought to leverage proprietary data to identify diagnostic markers for AML.
They wanted to streamline their data management workflow, from ingestion, preprocessing, and curation to insight generation, for raw Single Cell Multiome (scRNA + scATAC) data.
Major challenges included the lack of templatized solutions for single-cell multiome data ingestion, processing and storage, the large size of each dataset, and the lack of infrastructure to draw effective insights from this data.
Elucidata’s partnership offered them a well-rounded solution to their problems by offering customized pipelines, a robust, flexible and scalable compute infrastructure, and a tailor-made web app to support their data workflow end-to-end.
%20(1).svg)
%201%20(1).svg)
%20(1).svg)
%201%20(1).svg)
.svg)
.webp){kind=spacer}
.webp)
.webp)
.webp)
.webp)
.png)
.webp)
.webp)
.webp)
