Hi @Ketan_Chandra Glad you have this working!
For others reading:
This is the toggle on the form to set which way you want to organize the inputs. Toggle your choice to fit the data you have.
Select datasets per level
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individual count files (separate files)
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multiple collections of count files (one collection per factor level)
- Hands-on: Differential abundance testing of small RNAs / Differential abundance testing of small RNAs / Transcriptomics
- Hands-on: Reference-based RNA-Seq data analysis / Reference-based RNA-Seq data analysis / Transcriptomics
- Hands-on: Whole transcriptome analysis of Arabidopsis thaliana / Whole transcriptome analysis of Arabidopsis thaliana / Transcriptomics
- Hands-on: De novo transcriptome reconstruction with RNA-Seq / De novo transcriptome reconstruction with RNA-Seq / Transcriptomics
Select group tags corresponding to levels
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all the count files together in a single collection that is annotated with “group tags”.
Adding group tags is commonly done at the very start when loading up data, and is a somewhat advanced way to use Galaxy. The bonus is that it means you can process everything together as a batch for upstream steps, but still be able to split out the data when using a downstream tool. The tutorial aboves shows how this works with DESeq2 specifically, but this short guide covers the basics → FAQ: Adding a tag
Many ways to do the same things!