Application (max. 25 participants):
Application deadline: 30th September-2022
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).
Bioinformatics centre of the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
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.
- 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.
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.
RNA-seq, Bioinformatics, Data visualisation
3D RNA-seq app (https://3drnaseq.hutton.ac.uk)