Application (max. 25 participants):
https://www.surveymonkey.de/r/deNBI-GCBN-3D-RNA-seq
Application deadline: 30th September-2022
Educator:
Wenbin Guo, Runxuan Zhang and Miriam Schreiber (GCBN)
Date (two days course):
9th - 10th November 2022, every day 9:00 a.m. – 12:00 a.m. (including a break 10:00 - 10:30 plus one-to-one session 1:00 p.m. – 3:00 p.m. of the second day).
Location:
Bioinformatics centre of the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
Contents:
3D RNA-seq was developed at the James Hutton Institute and the University of Dundee-Plant Sciences for biologists to implement complex DE and DAS analysis with no coding required.
- 3D RNA-seq App includes both DE and DAS analysis. It works for RNA-seq data from plant, animals, human, etc.
- It is very accurate and has good controls of false positives.
- It is very flexible for complex experimental design, such as time-series and developmental-series.
- The entire analysis only takes 1-2 hours to generate publication-quality figures, tables and reports.
Learning goals:
- Enable biologists to make full use of their RNA-seq data and produce experimental results in a robust, transparent and reproducible way to achieve open science.
- Improve the efficiency and overcome major bottlenecks, shortening the complete RNA-seq experiment to just a few days.
- Raise the awareness of the importance of alternative splicing in the gene expression mechanism and the effects of high-quality transcriptome to transcript quantification and analysis.
Prerequisites:
No coding or programming skill is required. This workshop is meant for biologists, and early career research scientists (postdocs, PhD students) are strongly encouraged to participate.
Keywords:
RNA-seq, Bioinformatics, Data visualisation
Tools:
3D RNA-seq app (https://3drnaseq.hutton.ac.uk)
Contact:
IPK Postdoc Board (
Amanda S. Câmara (
Uwe Scholz (