Transcritomics

Welcome to the transcriptomics track. Here you can learn how to map the raw RNA-seq sequencing data to a reference, preform an differential expression analysis, GO analysis. Further you can learn how to plot your processed data. Additionally you can also learn how to perform a differential Isofrom expression analysis, as well as how to annotate lncRNAs. If you want to learn more in the field of transciptomics please also have a look at the single cell track.

Organisers(s) Teresa Müller avatar Teresa Müller
Instructor(s) Teresa Müller avatar Teresa Müllerorcid logoAnika Erxleben avatar Anika Erxlebenorcid logoLucille Delisle avatar Lucille Delisleorcid logoStéphanie Robin avatar Stéphanie Robinorcid logoRomane LIBOUBAN avatar Romane LIBOUBANorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoSaim Momin avatar Saim Mominorcid logoDiana Chiang Jurado avatar Diana Chiang JuradoDeepti Varshney avatar Deepti VarshneyTyler Collins avatar Tyler CollinsMeltem Kutnu avatar Meltem Kutnuorcid logoAmirhossein Naghsh Nilchi avatar Amirhossein Naghsh Nilchiorcid logoMarisa Loach avatar Marisa Loachorcid logoPavankumar Videm avatar Pavankumar Videm

Transcritomics introduction

If you are new to transcriptomics please start with the following tutorials. If you encounter any issue please ask us in this Slack channel.

Lesson Slides Hands-on Recordings
Introduction to Transcriptomics
Reference-based RNA-Seq data analysis
Visualization of RNA-Seq results with Volcano Plot

Advanced analysis

Here are some more advanced tutorials you can follow if you like. If you encounter any issue please ask us in this Slack channel.

Lesson Slides Hands-on Recordings
Genome-wide alternative splicing analysis
Long non-coding RNAs (lncRNAs) annotation with FEELnc