Please join us for a

                       NCI Containers and Workflows Interest Group Seminar

Cancer Data Analytics on the ISB-CGC platform

By

Kawther Abdilleh Ph.D. Bioinformatics Scientist, GDIT, ISB-CGC
Fabian Seidl Ph.D.  Bioinformatics Scientist, GDIT, ISB-CGC


Abstract:
The ISB Cancer Genomics Cloud (ISB-CGC) is one of three Cancer Cloud Resources 
funded by the National Cancer Institute, serving to democratize access to large 
cancer datasets as well as high-performance compute resources on the Google 
Cloud Platform. With a focus on Data as a Service (DaaS), the ISB-CGC offers 
multiple avenues for accessing and analyzing large-scale cancer datasets 
including TCGA, TARGET and other important references such as GENCODE and 
COSMIC. ISB-CGC is intentionally designed as an open platform allowing a wide 
range of users with diverse skill sets to choose approaches best suited to 
their tasks at hand. Users can analyze petabytes of data using complex 
workflows written in the workflow language of their choice (including but not 
limited to CWL, WDL, Snakemake, Nextflow, etc). They can develop new analysis 
methods in common languages such as Python, R, and SQL, conduct multivariate 
data analysis on easily accessible and query-able tables of large-scale cancer 
data, and use interactive web tools designed for cohort creation and data 
discovery and exploration. Here we will demonstrate how the flexible computing 
infrastructure of ISB-CGC enables researchers to analyze cloud hosted data with 
their own tools as well as with a collection of powerful Google Cloud Platform 
native tools and technologies (including Google BigQuery for big data analysis 
and Google Compute Engine for complex workflow execution).

Friday, April 10th, 2020
3:00 PM – 4:00 PM EDT

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