Re: [galaxy-dev] uploading multiple files into one dataset
Dear list, Our lab has been outputting data in multiple files that we currently merge (in galaxy) by tarring them. This works fine with the parallel processing that Galaxy offers. The problem, see also below, was to create a user-friendly way to not having to create 50-200 datasets in Galaxy but one containing all the merged files. I do not know if this functionality is something that people want to use, or if it goes against Galaxy design principles, but I have implemented it for our lab. I have enabled a input type=file multiple (may not work in IE though) in a separate FileField subclass, and the list of files that subsequently uploads is persisted and passed to the upload tool, where they are merged according to a datatype (specified in the upload tool) merge-method. File type detection is done by using sniffers as file type is set to auto. I don't have a very good view of the demand for this sort of function, but if anyone else would like to use/modify it, I can fork and issue a pull request. cheers, jorrit On 03/06/2012 06:56 PM, Nate Coraor wrote: On Feb 29, 2012, at 11:34 AM, Jorrit Boekel wrote: Dear list, Our lab's proteomics data is frequently outputted into50 files containing different fractions of proteins. The files are locally stored and not present on the Galaxy server. We've planned to somehow (inside galaxy) merge these files and split them into tasks so they can be run on the cluster. We would either merge/split the files by concatenation, or untar/tar files at every job, depending on filetype and tool. No problems so far. However, I have been looking around for a way to upload50 files simultaneously to galaxy and convert to one dataset, and this does not seem to be supported. Before starting to create a hack to make this work, which doesn't seem especially trivial to me, I'd like to know if I should instead use libraries. From what I've seen, libraries are not treated as datasets in Galaxy but rather contain datasets. If there was a tar all sets in library and import to history I'd be using that, but I've only encountered tar/zip sets and download locally which would be a bit of a workaround. Hi Jorrit, It's not possible to do this all in one step, but you can definitely upload them all simultaneously and then concatenate them using the concatenate tool (or write a simple tool to tar them). --nate I haven't found much on this subject in the mailing list, has this functionality been requested before? cheers, jorrit boekel ___ Please keep all replies on the list by using reply all in your mail client. To manage your subscriptions to this and other Galaxy lists, please use the interface at: http://lists.bx.psu.edu/ ___ Please keep all replies on the list by using reply all in your mail client. To manage your subscriptions to this and other Galaxy lists, please use the interface at: http://lists.bx.psu.edu/
Re: [galaxy-dev] uploading multiple files into one dataset
On Feb 29, 2012, at 11:34 AM, Jorrit Boekel wrote: Dear list, Our lab's proteomics data is frequently outputted into 50 files containing different fractions of proteins. The files are locally stored and not present on the Galaxy server. We've planned to somehow (inside galaxy) merge these files and split them into tasks so they can be run on the cluster. We would either merge/split the files by concatenation, or untar/tar files at every job, depending on filetype and tool. No problems so far. However, I have been looking around for a way to upload 50 files simultaneously to galaxy and convert to one dataset, and this does not seem to be supported. Before starting to create a hack to make this work, which doesn't seem especially trivial to me, I'd like to know if I should instead use libraries. From what I've seen, libraries are not treated as datasets in Galaxy but rather contain datasets. If there was a tar all sets in library and import to history I'd be using that, but I've only encountered tar/zip sets and download locally which would be a bit of a workaround. Hi Jorrit, It's not possible to do this all in one step, but you can definitely upload them all simultaneously and then concatenate them using the concatenate tool (or write a simple tool to tar them). --nate I haven't found much on this subject in the mailing list, has this functionality been requested before? cheers, jorrit boekel ___ Please keep all replies on the list by using reply all in your mail client. To manage your subscriptions to this and other Galaxy lists, please use the interface at: http://lists.bx.psu.edu/ ___ Please keep all replies on the list by using reply all in your mail client. To manage your subscriptions to this and other Galaxy lists, please use the interface at: http://lists.bx.psu.edu/
[galaxy-dev] uploading multiple files into one dataset
Dear list, Our lab's proteomics data is frequently outputted into 50 files containing different fractions of proteins. The files are locally stored and not present on the Galaxy server. We've planned to somehow (inside galaxy) merge these files and split them into tasks so they can be run on the cluster. We would either merge/split the files by concatenation, or untar/tar files at every job, depending on filetype and tool. No problems so far. However, I have been looking around for a way to upload 50 files simultaneously to galaxy and convert to one dataset, and this does not seem to be supported. Before starting to create a hack to make this work, which doesn't seem especially trivial to me, I'd like to know if I should instead use libraries. From what I've seen, libraries are not treated as datasets in Galaxy but rather contain datasets. If there was a tar all sets in library and import to history I'd be using that, but I've only encountered tar/zip sets and download locally which would be a bit of a workaround. I haven't found much on this subject in the mailing list, has this functionality been requested before? cheers, jorrit boekel ___ Please keep all replies on the list by using reply all in your mail client. To manage your subscriptions to this and other Galaxy lists, please use the interface at: http://lists.bx.psu.edu/
