• Bookdown website : This is just the free course content. Great to refer to! No account needed.

• Leanpub course: Allows for a certificate of completion. Optionally free!

• Coursera course: Allows a certificate for completion. Requires a Coursera account.

• Source materials: All the materials used to create the course.

This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.

• Bookdown website : This is just the free course content. Great to refer to! No account needed.

• Leanpub course: Allows for a certificate of completion. Optionally free!

• Coursera course: Allows a certificate for completion. Requires a Coursera account.

• Source materials: All the materials used to create the course.

This course covers the basics of creating documentation and tutorials to maximize the usability of informatics tools.

Our courses are hosted online to enable learners to obtain certification when they successfully complete a course! Our courses are published on Leanpub and Coursera!

You can also find the material for our courses on the Bookdown websites. These are nice for referring back to the material. They also do not require making an account like Leanpub and Coursera.

Our courses are open source, so you can find all the source material on GitHub through our source material links above.

• Source Materials: All the materials used to create the course.

This course is designed to help investigators understand more about computing basics, as well as familiarize researchers with various computing platform options.

• Source Materials: All the materials used to create the course.

This course is designed to help researchers and investigators understand the key principles of data management from an economic, privacy, security, usability and discoverability perspective.

• Source Materials: All the materials used to create the course.

This course will provide both conceptual and hands on reproducibility training for cancer informatics researchers.

• Source Materials: All the materials used to create the course.

This course will introduce genome informatics topics to researchers who may not yet be familiar with the currently available tools and methods. While some investigators may be generally familiar, this course will also describe details about how to perform these analyses with rigor.

• Source Materials: All the materials used to create the course.

The course will show reproducible pipelines and analyses that can be done with medical imaging and pathological images, from raw data to statistical analysis.

• Source Materials: All the materials used to create the course.

It can be difficult to organize and keep track of all the various clinical data that a researcher may collect or attempt to explore. Learning how to automate data extraction from clinical documents and how to summarize across documents can save valuable time and decrease the chance for errors when transcribing data from one format to another.

• Source Materials: All the materials used to create the course.

This course will cover the key concepts behind data visualization including the grammar of graphics. It will also cover how to create effective visualizations for exploration, exposition, and validation. Finally it will cover how to use specific tools to make visualizations for omics, imaging, and clinical data.

• Source Materials: All the materials used to create the course.

As the size and scope of data sets dramatically increases the opportunity to use these data sets to develop prognostic and predictive algorithms in cancer research also grows. This course will cover the key concepts and applications of machine learning in cancer research.

• Source Materials: All the materials used to create the course.

Even the most useful and best developed tools need to be put into the hands of relevant users to have an impact. There are a variety of modern approaches for disseminating cancer informatics software including Github, Social Media, workflow tools, and workflow publications. There is also a growing ecosystem for engaging users of software in everything from Github issues, to massive online open courses, to social media discussions. This course is designed to introduce effective ways of disseminating software and engaging with users to maximize impact.