We are planning a remote hackathon on September 17th and 18th for Galaxy
tool developers to hack on dataset collections.

Dataset collections enable MapReduce style workflows in Galaxy and have
come a long way over the last year+. Several groups are using dataset
collections and newer tools to express workflows of various degrees of
complexity that were not possible in Galaxy before.

The remote nature of this gives people who don't have the opportunity to
come to GCC hackathons (which have always been productive and a lot of
fun) a chance to participate in a Galaxy hackathon. Having a well
defined topic will allow us to accomplish a lot and let people who don't
have particular tasks in mind find something to work on very quickly.

We are collecting ideas to work on, but we expect to attract the most
participation by simply getting tool developers interested in getting
help adding collection support to their existing tools and workflows to
show up and participate.

If you are interested in participating in the hackathon but not
interested in actual tool development - we will assemble a list of
smaller, manageable Python and JavaScript tasks to work on and certainly
documentation is a chronically lacking for collections so we could use
help there and no actual coding would be required.

This is the first remote hackathon we have organized and we encourage
ideas or advice about how to organize it please let us know. A core
group of will be available on IRC all day and we will have 4 google
hangouts across those days to organize, answer questions, and report

For more information please see our github issue:

Bjoern, on behalf of the Galaxy IUC
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