Training Data (includes tutorial, example) about galaxy-hackathon HOT 15 OPEN

@devikaatgit If you need help, let us know
we can add it to our cloud instance too, this allows to put some structure in the data libraries (and share them later)

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@devikaatgit the best way is to upload the data on a https://usegalaxy.org/ Galaxy history. Then, share your history publicly. If you don't have an account, don't hesitate to create one, it's free ;)

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@yvanlebras That's one of the possibilities and my personal favorite, needs to be discussed

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RADseq technology

Genetic map

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Population genomics

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There is a reference genome on the shared data so the analysis can be made through the denovo_map as the ref_map pipelines

Assemble read pairs

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How do I add the sample datasets that I have with me?

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Tutorials for RNA-seq, Assembly and Variant calling using small publicly available dataasetsGalaxy_Walkthrough.pdf
Galaxy-based RNA-Seq Intro.pptx
Galaxy Variant Tutorial Mar16.pptx

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Thank you very much @Eduardo-Alves !

In the meantime, not sure I can use your material because of:

• Copyright © 2016 Centre for Genome Enabled Biology and Medicine is
• sample NA12878 https://basespace.illumina.com/s/xs2HUjmXiRCk need login...

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@frederikcoppens Did you think there is a way to create Shared libraries for our group on the Galaxy main server ?

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Bacterial RNA-seq data available at the following url http://54.158.166.52/u/aida/h/datahackathonab

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I posted kind of "advanced training sets" on the #30 post. They include larger data sets for RNAseq and RADseq that are all from publically accessible data, that highlight typical issues in data analysis, and use published analyses. Might be good as a kind of second pass training set for each of these analyses, as they may not be as straight forward as a "toy set" since they are real data with real issues.

I did not upload the data yet, because I have to transfer it from the cluster to my computer and back up to galaxy (unless anyone knows a faster means of doing this?).

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2 condition datasets with (single replicates only) for RNA-seq of bacteria can be accesses at https://usegalaxy.org/u/devikasub/h/bacterial-rna-seq-2-condition-single-replicate-datasets

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thanks everyone!

What is next? We need a list ticket for to-do items. Can reference this ticket and others. Would someone like to draft one or should I?

Shared Lib on Main > assign to me. Moving the data above into that, organized and labeled, is also me (in collaboration with authors above and in master ticket). Use the hack mailing list to synch up for this and related?

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