Bioinformatics Methods for Transcriptomics
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.Created by: Johns Hopkins University

Related Online Courses
Forms are an essential part of modern-day workflow. They are the primary medium of collecting, validating, and storing user data to provide great user experience. React library helps in developing... more
An entrepreneur is someone who is always on the lookout for problems that can be turned into opportunities and finds creative ways to leverage limited resources to reach their goals. In this... more
Learners will obtain foundational knowledge and insights to begin to identify potential targets for innovation in healthcare. This course provides an overview of the healthcare ecosystem, which is... more
This is a self-paced lab that takes place in the Google Cloud console. This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.Created by: Google Cloud more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you\'ll set up a Google Kubernetes Engine cluster, then deploy the Managed Service for Prometheus to ingest... more