IDBS Webinar

Omics Workbench: Integrate your cancer exome sequencing analysis with clinical data

• Do you want to identify somatic mutations in cancer genome sequencing data?
• Do you want to identify driver mutations for a certain cancer type at a certain stage?

IDBS NGS solutions help you to manage large genomic data sets, track analysis process and parameters, and integrate your favorite computational tools with graphical viewers such as IGV.

With our solutions you are able to manage, analyze, and visualize your own data without programming skills or relying on computational biologists. More importantly, you can make sense of your cancer sequencing data and understand mutation disease association by integrating NGS results to clinical data and public annotations.

In this webinar an exome sequencing use case will be used to illustrate two scenarios:

• A clinician or PI can explore patient/sample attributes, save as a cohort, and integrate patient/sample data with SNP results which were analyzed & submitted by the scientist to find out which mutations are unique to this cohort and, possibly, identify driver mutations. They can then link to public annotation or databases to see any previous discovery on that cancer/mutation association and understand the significance of the result.
• A scientist or bioinformatician can run data analysis through an automated workflow with parameters being tracked for future reference. They can also plug-and-play any analysis component to adapt to the rapidly changing algorithm and application field in cancer genome sequencing and mutation identification.

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