Presentation
How Cloud Tools Are Enhancing Cancer Research Capabilities at the Molecular Level for the National Cancer Institute
DescriptionRapid growth of cancer research in recent decades has made data discovery and management difficult for many research labs. Cancer researchers are looking to technologies such as machine learning and artificial intelligence as analyses are increasingly becoming multidisciplinary. For the National Cancer Institute, GDIT supports the Cancer Research Data Commons in its mission to democratise access to large cancer research resources. GDIT has made accessible massive genomic data sets, from blockbuster cancer projects such as TCGA and CPTAC, through Google Cloud tooling such as BigQuery and on demand virtual machines. In this discussion, learn how these cloud technologies have enabled analyses that are uniquely inexpensive and rapid even when scaled to petabyte sized inputs. One supported research project calculated 6.6 billion correlations in 2.5 hours with a total cost of about $1. GDIT also supports the Imaging Data Commons in extracting quantitative data from the large existing medical imaging datasets such as MRI and CT scans through automated annotation approaches.
Speaker
Bioinformatics Engineer Senior, GDIT
Event Type
Exhibits
Flash Session
TimeTuesday, 19 November 202411:45am - 12pm EST
LocationBooth 4155
TP
XO/EX