1 Introduction
2 Basic Building Block of Computers
The basic building block of computers quiz
10 attempts allowed
3 Binary Data to Computations
Binary data to computations quiz
10 attempts allowed
4 Computing Resources
Computing resources quiz
8 attempts allowed
5 Shared Computing Etiquette
Shared computing etiquette quiz
10 attempts allowed
6 Research Platforms
Research computing platforms quiz
10 attempts allowed
7 Computing Resource Decisions
Computing decisions quiz
10 attempts allowed
About This Course
About the Authors
References
Computing for Cancer Informatics
Computing for Cancer Informatics
Ever wonder how computers work on a fundamental level? Or have you wondered how cloud computing works? In this course we will discuss fundamental computing concepts and how this knowledge can help you take your bioinformatics research further.
The instructors are letting you choose the price you pay for this course!
55Readers
The instructors are letting you choose the price you pay for this course!
Ever wonder how computers work on a fundamental level? Or have you wondered how cloud computing works? In this course we will discuss fundamental computing concepts and how this knowledge can help you take your bioinformatics research further.
55Readers
About
About 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.
Price
Course Price
Minimum price
Free!
$19.99
You pay
$19.99Instructors
About the Instructors
Carrie Wright
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/.
Jeffrey Leek
Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.
Episode 19
An Interview with Jeffrey Leek
Sarah Wheelan
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.
Material
Course Material
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