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Best pipeline for time course RNA-SEQ analysis for single cell organism

Hi As mentioned in the question, I would like to know, best pipeline till date for the RNA-Seq time course analysis. I have 3 biological replicates for 9 different time points (one condition), want to do differential expression analysis based on time points. Organism is a Eukaryote (Single cell).

If further detail needed to decide please let me know and also want to know, why particular pipeline can best best for this.

rna-seq next-gen r

3 answers

I don't know about 'best', but many common differential expression R packages can do this. DESeq2, limma, and edgeR are probably the most popular/well-regarded.

Thanks, Can you please suggest any article related to my experiment conditions; means different biological replicates and time point.

Read the documentation for each of the respective packages. They all have sections devoted to time courses and setting the replicates is pretty easy.

Hi,

If your file size is not too big than you can try galaxy. Also, you can try any of these tools

https://gallery.shinyapps.io/DEApp/

http://renlab.org:3838/IDEA/#title1.2.

I think it may help you.

Try the Bioconductor package maSigPro , it is pretty easy to use.

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