Post Your Answer
4 years ago in Bioinformatics and Computational Biology , Differential Gene Expression By Anjum
How to choose the best R package for analysing gene expression?
Hello, I am performing research in Biometrics and Computational Biology where I have to identify genes expressed from a single family and are differentially expressed. I am using GEO datasets but I am confused which R package will be the most suitable for the analysis.Â
If anyone can help me decide, it would be greatly appreciated.
Thank you very much in advance.
All Answers (3 Answers In All)
By Jayanti Patil Answered 4 years ago
Â
Replied 4 years ago
By Anjum
Reply to Jayanti Patil
By Rafael Answered 4 years ago
But when it comes to software tools, there are a few emerging softwares like Ball Gown, StringTie, and HISAT which can be used to measure, compare, and analyse the gene expression.
I am attaching a few links below and I hope it will help you.Â
Â
https://www.nature.com/articles/nprot.2016.095
https://davetang.org/muse/2017/10/25/getting-started-hisat-stringtie-ballgown/
https://rpubs.com/selveyad/ballgown_tutorial
Replied 4 years ago
By Anjum
Reply to Rafael
By Mani Answered 4 years ago
Â
I don’t know if it will help or not, but you can go through the workflow I am attaching below. Maybe it helps.
Â
https://www.bioconductor.org/packages/devel/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html
Â
In case you still don't get the hold of the answer or how to differentiate the gene expression of various genes, then do contact an expert who can help.
Best wishes for your research work.
Replied 4 years ago
By Anjum
Replied 4 years ago
By Mani
Replied 4 years ago
By Anjum
Reply to Mani
Related Questions