This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have RNA data and don鈥檛 know what to do with it. - Want a basic overview of their RNA focused data type. - Want to find resources for processing and interpreting RNA data What this course will cover: - Fundamentals of RNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you鈥檇 need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.
Single Cell RNA-seq Overview
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Skills You'll Learn
Molecular Biology, Science and Research, Biology, Spatial Analysis, Data Analysis, Research Design, Experimentation, Data Processing, Bioinformatics, Qualitative Research, Quantitative Research, Data Collection
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From the lesson
Single Cell RNA-seq
In this module we dive into single cell RNA-seq methods for evaluating gene expression of single cells.
Taught By
Candace Savonen, MS
Data Scientist