I would like to reiterate this point in as far as this single feature is preventing us from implementing large workflows in our organization in Galaxy...It is just not feasible to re-do all workflow steps each time in complex studies...

Is there any way we can speed up the implementation of this issue?

Thanks,

Thon

On May 18, 2012, at 05:44 AM, Jeremy Goecks jeremy.goecks@emory.edu wrote:

Nested workflows aren't yet possible, but they're definitely something we'd like to do in the future.

Best, J.

On May 17, 2012, at 9:48 AM, Peter van Heusden wrote:

Hi there

Is there a way in Galaxy to use workflows as components in workflows? I've got two datasets that start as Genbank files and are processed (features extracted, translated to AA) by a small workflow, and then BLASTed against one another. Ideally I'd like to modularise the initial steps as a workflow so that I can say input data goes through this workflow and then the result is fed into either the query or the subject slot of blastp. So is this possible?

Thanks!

Peter

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Hi Jeremy

I'm need this for something I'm implementing at the moment, and how I'm thinking about it is making a tool that uses the API to call a workflow. There are a few problems though, correct me if I'm wrong:

1) In order to make an input history item available to the called workflow, the tool needs to somehow know about history items, but the tool xml passes in parameters as data files. This could probably be remedied by providing a type="history_item" parameter to <param> that would provide the id associated with the history item. In the interem, just to test things, I'm passing in parameters as a history:history_item string (yeah I know, ugly!).

2) My particular tool needs to take a history item, splits it into partitions, and call a workflow with each of those partitions. For this to work, the partition needs to be uploaded as a new history item, but that is currently not possible. The other possibility is to create a tool that does the split, have it in a single-tool workflow (because workflows can be called from the API in such a way that their output goes to a new history, whereas I don't see that in the tool interface) and then iterate through the history that contains the split data, calling the analysis workflow on each item.

Peter P.S. for my particular problem - call a bunch of tools, once for each row in a file of tabular data - it would be WAY easier to just write everything in a Python script, but I'm trying to see what is do-able within Galaxy.

On 20/05/2012 16:55, Jeremy Goecks wrote:

...

Is there any way we can speed up the implementation of this issue?

Community contributions and always encouraged and welcomed. Partial solutions are fine, and self-contained contributions are likely to be included more quickly because they are easier to review.

Thanks, J.

Thanks Jeremy

I've given up on that approach to nested workflows - too inefficient, too fragile. If I have lots of time (and a grad student to help out) I've got some ideas about having a deep look at the tool runner side of Galaxy with an eye to efficiently implementing the mapping of input data to (sub)workflows. Right now the process of spawning a new Galaxy task for e.g. each line in a tabular file is just too heavyweight, thus the sub-workflow got implemented in Python.

Peter

On 24/05/2012 04:30, Jeremy Goecks wrote:

Peter,

I'm not ignoring you. However, there are others on the Galaxy team that are more familiar with the API and can provider better answers. I expect they'll chime in soon to address your questions.

Best, J.

On May 20, 2012, at 5:39 PM, Peter van Heusden wrote:

...

Hi Jeremy

I'm need this for something I'm implementing at the moment, and how I'm thinking about it is making a tool that uses the API to call a workflow. There are a few problems though, correct me if I'm wrong:

1. In order to make an input history item available to the called

workflow, the tool needs to somehow know about history items, but the tool xml passes in parameters as data files. This could probably be remedied by providing a type="history_item" parameter to <param> that would provide the id associated with the history item. In the interem, just to test things, I'm passing in parameters as a history:history_item string (yeah I know, ugly!).

2. My particular tool needs to take a history item, splits it into

partitions, and call a workflow with each of those partitions. For this to work, the partition needs to be uploaded as a new history item, but that is currently not possible. The other possibility is to create a tool that does the split, have it in a single-tool workflow (because workflows can be called from the API in such a way that their output goes to a new history, whereas I don't see that in the tool interface) and then iterate through the history that contains the split data, calling the analysis workflow on each item.

Peter P.S. for my particular problem - call a bunch of tools, once for each row in a file of tabular data - it would be WAY easier to just write everything in a Python script, but I'm trying to see what is do-able within Galaxy.

On 20/05/2012 16:55, Jeremy Goecks wrote:

...

...

Is there any way we can speed up the implementation of this issue?

Community contributions and always encouraged and welcomed. Partial solutions are fine, and self-contained contributions are likely to be included more quickly because they are easier to review.

Thanks, J.

---

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