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Tool: DEGap - an online tool for Differential Gene Expression analysis

Hi! I would like to introduce DEGap, an online tool which is aimed for automatically running differential gene expression analysis based on RNA-seq data. The tool performs differential gene expression analysis, pathway enrichment analysis and principal component analysis using R packages (read more about the analyses and used tools here: documentation). With DEGap you can visualise your results using interactive plots and download all subsequently generated data such as analyses statistics, data matrices and figures (supports SVG and PDF formats).

The tool is intended for researchers in the bioinformatics community, it is free and currently is running a demo version using limited resources which can affect the speed and performance of the tool. Currently, the tool supports datasets with reasonable sample sizes but it can be changed in case there is broader interest for the tool. At this point the aim is to see if the community finds this type of easy-to-use automatic analysis tool helpful.

If you have comments or questions, I am happy to answer! You can also leave your feedback here .

Thank you :)

degap
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written by Anastasia • Anastasia

A couple of points:

  1. Please do not add answers unless you're answering the top level question. Instead, use Add Comment or Add Reply as appropriate. I've moved your post to the right location this time, please be more careful in the future.
  2. Something can be similar to something else or different from something else. similar ... from is not really correct.
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written by Ram Ram

Thank you for your question! DESeq2 package is actually used by DEGap tool at the backend to run differential expression analysis. The subsequent pathway enrichment analysis is done based on DESeq2 results. Read more about the tools used in the "Documentation" section (link in the footer of the page DEGap).

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written by Anastasia • Anastasia

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