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Chipster is a user-friendly analysis software for high-throughput data such as Visium, single-cell and bulk RNA-seq. Chipster provides a web interface to over 500 analysis tools, and the actual analysis jobs run on the server side making use of CSC's computing environment.
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Chipster is a user-friendly analysis software for high-throughput data. chipster/chipster’s past year of commit activity Java 33 MIT 13 0 0 Updated Jun 18, 2021
Chipster is a versatile data analysis platform with an intuitive graphical user interface. It currently contains a comprehensive collection of analysis tools for microarray and NGS data. The Chipster platform has also been used for sequence analysis.
These videos contain practical information on how to start Chipster, import data, run analysis tools and visualize results, automate your analysis by making ...
Chipster v3 has reached end-of-life. -----------------------------------. Up to version 3.x Chipster was a desktop application requiring Java Web Start. Chipster version 4 is a web application which runs on your browser. Here are some links to get started with the new Chipster v4:
In a computer system, a chipset is a set of electronic components on one or more integrated circuits that manages the data flow between the processor, memory and peripherals. The chipset is usually found on the motherboard of computers. Chipsets are usually designed to work with a specific family of microprocessors.
Chipster genome browser. View NGS reads in their genomic context using Ensembl annotations. Zoom in to nucleotide level. View automatically calculated coverage (total or strand-specific) as line graph or density graph. Highlight SNPs. Use BED, VCF and GTF files to jump from one location to another. Quality control.
Chipster is a user-friendly bioinformatics software developed by CSC. Chipster offers an easy-to-use access to hundreds of analysis tools for high-throughput data. Chipster contains also a large collection of reference genomes.
Chipster manual. Chipster is an easy-to-use analysis software for high-throughput data. There are currently two interfaces: a Web App and a Java client. The latter requires Java Web Start, and it will be phased out by 15 Nov 2020.
