Welcome to Chipster
Chipster is a user-friendly software for analyzing high-throughput data such as NGS and microarrays. It contains over 400 analysis tools and a large collection of reference genomes. Users can save and share automatic analysis workflows, and visualize data interactively using for example the built-in genome browser. Chipster's client software uses Java Web Start to install itself automatically, and it connects to computing servers for the actual analysis. Chipster is open source, and the server environment is available as a virtual machine image free of charge. If you would like to use Chipster running on CSC's server, you need a user account.
Launch Chipster v3.15
...or launch with more memory: 3 GB or 6 GB
If you have trouble launching Chipster, read this
News and resources:
- 5.7.2019 Lecture videos from single cell RNA-seq data analysis course
- 9.4.2019 Version 3.15 released
- 20.2.2019 Video tutorials for RNA-seq data analysis
- 24.9.2018 Video tutorials for single cell RNA-seq data analysis
- 17.4.2018 RNA-seq tutorial for differential expression analysis
- 19.8.2014 RNA-seq data analysis guidebook with Chipster instructions
- Archive
Training:
- 24.9.2019 Single cell RNA-seq data analysis, CSC
- 11.9.2019 Detecting differentially expressed genes with RNA-seq, InCoB
- 2.-3.9.2019 RNA-seq data analysis, University of Oulu
- 17.6.2019 Single cell RNA-seq data analysis, IGC
- 14.-15.3.2019 Single cell RNA-seq data analysis, CSC
- 6.3.2019 RNA-seq data analysis, CSC
- 11.12.2018 Community analysis of amplicon sequencing data, Evira
- 16.1.2018 Webinar: VirusDetect pipeline