Bioinformatics Methods for Transcriptomics
This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio,...
By Liliana Florea, PhD on Coursera
About This Course
This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio, ONT) sequencing. In its four modules, the course addresses the core transcriptomics questions: What are the genes and transcripts expressed in a given sample or condition of an experiment?, What are their expression levels?, and What are the differences in gene expression and splicing patterns between conditions? It provides hands-on instruction on how to use popular and/or emerging tools such as STAR, PsiCLASS, DESeq2, rMATS, MntJULiP, Minimap2 and IsoQuant. This is an intermediate level course, and assumes basic knowledge on using command line bioinformatics tools in a Unix-type environment.
Topics Covered
Frequently Asked Questions
How much does Bioinformatics Methods for Transcriptomics cost?
Visit the Bioinformatics Methods for Transcriptomics course page for current pricing and available discounts.
Who teaches Bioinformatics Methods for Transcriptomics?
Bioinformatics Methods for Transcriptomics is taught by Liliana Florea, PhD, Johns Hopkins University.
What skill level is Bioinformatics Methods for Transcriptomics for?
This course is designed for intermediate learners.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS