Computing for Cancer Informatics (The Course)
This course is part of a series of courses for the Informatics Technology for Cancer Research (ITCR) called the Informatics Technology for Cancer Research Education Resource. This material was created by the (ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: National Cancer Institute (NCI) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at www.itcrtraining.org for more information.
Learning Objectives - This course will demonstrate how to:
- Recognize basic computing terminology and understand the basics about how computers and computing systems work
- Understand what a server is and the differences between cluster, grid, and cloud computing
- Be aware of the appropriate etiquette for shared computing resources
- Recognize available shared computing resources for multiple data modalities
- Recognize shared computing resources designed for specific types of data
- Compare and make informed decisions about computing resources (including economic considerations)
This course is intended for researchers (including postdocs and students) with limited to intermediate experience with informatics research. The conceptual material will also be useful for those in management roles who are collecting data and using informatics pipelines.
Students will be graded based on their performance on short multiple choice quizzes.
- 1 Introduction
- 2 Basic Building Block of Computers
- 3 Binary Data to Computations
- 4 Computing Resources
- 5 Shared Computing Etiquette
- 6 Research Platforms
- 7 Computing Resource Decisions
- About This Course
- About the Authors
Carrie Wright is a Senior Staff Scientist at the Fred hutchinson Cancer Center and a member of the Fred Hutchinson Data Science Lab. Previously Carrie was an Assistant Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a faculty member of the Johns Hopkins Data Science Lab. Her work focuses on making data science and informatics more approachable and accessible. She is also a faculty member of the open case studies project, the Informatics Technology for Cancer Research (ITCR) Training Network (ITN), and a co-founder of the LIBD rstats club, a community designed to encourage others to learn more about R programming and statistics. Learn more about Carrie at https://carriewright11.github.io/.
Sarah Wheelan is an associate professor of Oncology and Molecular Biology and Genetics at the Johns Hopkins University School of Medicine, and has an appointment in the department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. She is a founder and co-director of the Center for Computational Genomics and a co-director of the Experimental and Computational Genomics Core.
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