CourseSource: Resources

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Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes

Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills to analyze biological data while understanding the...

Courses: Bioinformatics

computationpythonJupyter notebookFunctionscentral dogmaDictionaries

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A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!

Radical innovations in DNA sequencing technology over the past decade have created an increased need for computational bioinformatics analyses in the 21st century STEM workforce. Recent evidence however demonstrates that there are significant...

Courses: Bioinformatics

bioinformaticsgenomicscodingJupyter notebookcommand lineCyVersescriptingnext generation sequencing analysis

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2274

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Learning R for Biologists: A Mini Course Grab-Bag for Instructors

As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there are few that offer practical laboratory-based...

Courses: Anatomy-Physiology Bioinformatics Ecology Ecology Genetics

Rdata analysisRStudio

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Using Raw Sequence Data to Analyze Tumor Suppressor Mutations

Learning to identify DNA sequence variants from raw sequencing data (electropherograms) is a basic molecular biology skill with applications to basic research and clinical practice. Yet learning to map DNA sequence variants to functional regions...

Courses: Bioinformatics Genetics