Detaching Data Collections

usegalaxy.org support
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how can i detach my collection. i turn my pair end data into collection because its easier for analyses. but now i what to detach them to use them separately in limma. is there tool or options to do that ?

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The original datasets that you created your collection with should be in your history, hidden. You can also use the Extract Dataset collection operation.

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thanks for your reply. i dont need my original datasets. because i did some analysis to them. and know i just need these collections, detach. for example , i had 400 paired end samples. and know i have 2 collection which each have 200 samples in it. So i need those too detach so i can use them separately in next step. Extract dataset just give me one dataset to use. i need all of them

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Some extra clarification: “Original” means the data inside your target collection before extracting from it. Each collection includes hidden datasets.

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i think i found them, but in large datasets like 500, its too hard too search them one by one in there, if there way a way to simply detach the collections, then analyses the large datasets would be a lot easier.

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Have a look at this presentation from yesterday at GCC2019

Slides: GCC - Analyzing Large / Complex Experimental Designs with Galaxy - Google Slides

It covers many collection operations, tutorials that focus on collections, workflow features, and more. Most of this is fairly new and it links up to the newest GTN tutorials that cover the same concepts/functions.

In short, it is worth learning how to construct your collections with metadata that makes it easier to sort out the data downstream.

For this part – maybe unhide the datasets and use the search at the top of the history panel? Searches will be easier if your collections have more metadata but perhaps will help for now? Or use the tools in the group “Collection Operations”. All collection datasets have element identifiers and there are tools to find out what that metadata currently is plus then manipulate it and/or extra datasets based on that info.

Thanks!