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.
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Bioinformatics Methods for Transcriptomics
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Bioinformatics Methods for Transcriptomics
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Instructor: Liliana Florea, PhD
Access provided by New York State Department of Labor
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Assessments
8 assignments
Taught in English
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September 2024
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There are 4 modules in this course
What's included
13 videos5 readings2 assignments
What's included
24 videos2 assignments
What's included
14 videos2 assignments
What's included
15 videos2 assignments
Instructor

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