ncibtep@nih.gov

Bioinformatics Training and Education Program

The GenePattern Ecosystem for Cancer Genomics and Reproducible Research

The GenePattern Ecosystem for Cancer Genomics and Reproducible Research

 When: Jun. 27th, 2024 10:00 am - 11:00 am

Learning Level: Any

To Know

Where:
Online Webinar
Organizer:
CBIIT
Presented By:
Michael Reich (Mesirov Lab, UC San Diego)
This class has ended.

About this Class

During this presentation, you will learn about the GenePattern ecosystem, an environment for accessible, reproducible research that has been serving the needs of the cancer genomics community since 2004.

GenePattern hosts hundreds of genomics analysis and visualization tools, presented in a web-based format that requires no programming, along with extensive features for reproducibility and accessibility. 
Available analyses include bulk and single-cell gene expression, gene set enrichment analysis, mutation significance, flow cytometry, proteomics, general machine learning approaches, and many others.

A notebook interface allows GenePattern analyses to be combined with all the capabilities that Jupyter Notebooks offers. Mr. Reich will describe how scientists can use GenePattern to empower their cancer genomics research.

For questions, contact Daoud Meerzaman or Kayla Strauss.