Dr. Enis Afgan will provide an overview of Galaxy and its increasing use of software containers to ensure consistency and promote software portability. This webinar will explore what goes on behind the scenes to make a Galaxy installation function at scale.

If you’re a cancer researcher looking to learn about the upcoming and required NIH data management and data sharing plan mandates, don’t miss this webinar exploring the ELIXIR RDMkit, a framework for advice and best practices regarding research data management.

Dr. Elana J. Fertig (whose lab also uses multiplatform genomics data, blended with mathematical modeling and artificial intelligence) will demonstrate how CoGAPS, an established method for identifying transcriptional signatures related to cell type and state, can be applied to single cell data to identify patterns underlying immunotherapy response and resistance. Combining CoGAPS with transfer learning approaches provides insight into the patterns found in preclinical models, which then can be applied to patient samples to find shared features across data sets from different species.

In this installment of the NCI Imaging and Informatics Community Webinar, learn about the impending challenges and different approaches for detecting and mitigating bias when implementing clinical artificial intelligence (AI) and machine learning (ML) algorithms within a clinical setting. Dr. Issam El Naqa of the Moffitt Cancer Center will give examples of how to apply these approaches in oncology applications and discuss their implications to pave the way for AI/ML in clinical practice.

Cancer researchers and professionals involved in drug discovery are invited to register for the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium’s first webinar in a series. Learn how the ATOM Research Alliance is accelerating drug discovery and thereby changing the field. Dr. John Baldoni, CEO of ATOM Research Alliance, will talk about the ATOM Modeling Pipeline (AMPL), an open-source data-driven modeling pipeline that supports machine learning and molecular featurization tools.

Dr. Jeremy Goecks will share how cancer researchers are using the machine learning capabilities of the Galaxy project, one of the largest and most widely used open-source platforms for biomedical data science, to predict therapeutic responses and analyze tumor spatial biology.

Dr. Moseley is an Associate Director of the Institute for Biomedical Informatics at the University of Kentucky. His lab has a strong history of developing open-source software tools that enable access of public repository data including the Biological Magnetic Resonance Bank (BMRB), worldwide Protein Data Bank (wwPDB), and the Metabolomics Workbench (MWbench).

Join the February NCI Imaging and Informatics Community webinar to learn how Dr. Thomas Yankeelov’s laboratory is using quantitative imaging data to develop digital twins, a virtual representation of a cancer patient from real-world data, to predict risk and optimize therapy for cancer.

Join the upcoming NCI Genomic Data Commons (GDC) monthly webinar to learn how to obtain access to controlled-access data.

Attend this workshop to help the National Institute of Standards and Technology’s (NIST’s) National Cybersecurity Center of Excellence (NCCoE) identify genomic data cybersecurity/privacy concerns and develop guidance to address these challenges. Genomic data are central to basic science research as well as disease (i.e., cancer) diagnosis and prediction.