About this Class

https://cbiit.webex.com/recordingservice/sites/cbiit/recording/play/246d5cb98c8d4cd0b2e8f6fb0368978b GenePattern enables researchers at all levels of computational expertise to use hundreds of tools for the analysis of gene expression, sequence variation, proteomics, and more, through an intuitive interface that requires no coding. GenePattern makes reproducible research easy: analyses can be rerun at any time with the same inputs; every version of each tool is tracked, so that a result can be reproduced even if the code that produced it changes in the future; and researchers can chain analyses together to encapsulate and share their research as reproducible workflows. A new GenePattern Notebook environment,https://notebook.genepattern.org/#gsc.tab=0 based on the popular Jupyter Notebook system, further allows users to interleave text, graphics, and analyses in unified "research narratives" that can be shared and published. In this webinar, participants will learn how to: • Identify available GenePattern analyses relevant to their scientific objectives • Analyze and visualize gene expression (including RNA-seq) and other genomic data • Ensure that their analyses are reproducible • Create and publish research narratives that serve as a live, executable, shareable representation of a study The ITCR Program is a trans-NCI program supporting investigator-initiated, research-driven informatics technology development spanning all aspects of cancer research. The ITCR Program funds tools that support the analysis of -omics, imaging, and clinical data, as well as network biology and data standards. All of the tools are free for use by academic and non-profit researchers. Access to tools, code repositories, and introductory videos are available on the website https://cbiit.webex.com/recordingservice/sites/cbiit/recording/play/246d5cb98c8d4cd0b2e8f6fb0368978b For any questions please contact Daoud Meerzaman or Juli Klemm