Day 3 Agenda

Goals

Morning session: Differential expression analysis

  • To learn how long-read RNA-seq can be used for differential isoform expression/usage analysis and what are the current challenges
  • To learn about specific case of expression analysis: allele-specific expression analysis

Afternoon session: RNA modifications

  • Learn how long read sequencing technologies are utilized for the study of RNA modifications
  • Hands-on session for the study of the tRNAome

Timetable

Time Activity Details Literature
9:00 - 9:30 How to build your expression matrix and concept of DE analysis vs DIU call and join, join and call  
9:30 - 10:30 Hands on tappAS, IsoTools tappAS, IsoTools
Break      
10:30 - 11:00 Allele-specific expression Specificity of long-reads
* Introduction.
* Biases and limitations.
* Main steps.
* Minimum input.
* Expected output
* Existing pipelines: LORALS, FALIR2, IDP-ASE
Review about allele-specific expression analyis, LORALS
11:00 - 12:30 Hands on analyze ASE dataset
Hands-on Task 1
Description of the data. QC and filtering of already mapped samples.
Hands-on Task 2
Allele-specific expression quantification
Hands-on Task 3
Allele-imbalance testing
Hands-on Task 4
Interpretation of results and output. Real example application
Conclusion and remarks
*
 
12:30 - 13:30 Lunch break    
13:30 - 14:30 Introduction to epitranscriptomics Overview of the field; use of long-read sequencing technologies for mapping RNA modifications; tRNA-specialized protocols and pipelines  
14:30 - 15:00 Hands-on Mapping Nano-tRNAseq data Tools: minimap2
15:00 - 15:30 Coffee Break    
15:30 - 16:30 Hands-on Downstream processing: filtering, quality control, batch effect investigation, differential expression, diffenetial modifications Tools: AMaNITA
16:30 - 17:00 Closing remarks Additional pipelines; modification-aware basecallers  

Learning Objectives

Morning session: Differential expression analysis

  • understand the difficulties of assigning reads to isoforms
  • understand biological mechanisms of allelic imbalance
  • understand different sources of bias in allele-specific expression analysis

Afternoon session: RNA modifications

  • understand the past and current challenges in the epitranscriptomics field
  • understand why and how long-reads sequencing technologies are utilized for RNA modification detection
  • familiarize with tools for epitranscriptomics data analysis

Materials

  • (here we will put links to the slides)

Data

* * * *

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