Circa for RNAseq: Differential expression circos plot
Ғылым және технология
Using Circa to make a circos plot of differential gene expression results from DESeq2.
* 0:00 Loading data into Circa
* 3:13 Fixing problematic data using Google Sheets
* 9:47 Styling the plot with neon color scheme
Buy Circa: omgenomics.com/circa
Data from this paper: www.mdpi.com/2072-6694/13/17/... - thank you Vikas!
Пікірлер: 12
Thank
Nice work, i think if there is a skinny version for a free trial to test if this is the right product for users, the trial could help with sales
Circa is for sale here: omgenomics.com/circa
Is there a trial version for the circa software? I don´t know if thsi siftware fits to my data, som I would love to have a trial version. If it fits, I would buy it definitley.
Looks like a nice software. Any chance you can provide a price waiver for educational purposes?
@OMGenomics
Жыл бұрын
Circa is already half price for academics/nonprofits/government, which is actually 94% of users. There are some great free options out there, e.g. multiple R packages and the original circos itself. These other tools and libraries have a higher learning curve than Circa but can be great options depending on your budget.
Could you please provide links to the software?
@OMGenomics
Жыл бұрын
Circa is here: omgenomics.com/circa
Is this a Shinny app?
@OMGenomics
Жыл бұрын
Nope! It's a desktop app built with Electron, with visualization in D3.js.
what is the purpose of this plot? how you can use this plot to come up with solutions for a disease?
@OMGenomics
2 ай бұрын
Data viz in general (and this type of plot in particular) can be used to communicate results with other scientists or as part of your own data exploration to find results worth sharing in the first place. I made my own first circos plot because I was looking at large structural variants like inter-chromosomal translocations and wanted to see an overview of where the translocations were happening across the genome. It's really good for whole-genome views of data. A plot is never going to single-handedly come up with solutions for a disease though, it's just part of the process of us as scientists understanding what the data is telling us :)