GCC2019 Training Topic Vote

The Galaxy Community Conference starts with training but also continues with training throughout the conference.
The community proposed some topics and now YOU NEED TO VOTE to select the ones offered at GCC2019!

More than 25 topics have been nominated by the community. The GCC2019 Organizing Committee compiled them and expanded this list with community requests and topics from the previous GCC to offer a large list of possible training to the community.

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Please take a few minutes to vote which ones should be at GCC2019! Thank you!

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Voting closes at the end of February 4.

Vote for as many topics as you want, but please note that the more topics you vote for the less your vote for each one counts.
What? Here's an example.
If Moni votes for 4 topics then each of her votes counts for 1/4 of a point.
If Dave votes for 22 topics then each of his votes counts for 1/22 of a point.

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GCC2019 (https://galaxyproject.org/events/gcc2019/) will be held 1-6 July in Freiburg, Germany. It will feature 1 day of introductory training and then 3 days with more specialized training sessions aligned with talks.
Training sessions are 2 hours long on the 1st day and 1 1/2 hours during the following 3 days.

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Introductions

Introduction to Galaxy (Galaxy 101) (http://bit.ly/gcc2019-training#introduction-to-galaxy)

Beyond the Intro: Further Adventures in Using Galaxy (http://bit.ly/gcc2019-training#beyond-the-intro-further-adventures-in-using-galaxy)

Quality control of HTS data (http://bit.ly/gcc2019-training#quality-control-of-hts-data)

Analyzing Large / Complex Experimental Designs with Galaxy (http://bit.ly/gcc2019-training#analyzing-large-complex-experimental-designs-with-galaxy)

Visualization of HTS Data in Galaxy (http://bit.ly/gcc2019-training#visualization-of-hts-data-in-galaxy)

Topic-specific data analysis

The RNA workbench, best practices for RNA and high-throughput sequencing bioinformatics in Galaxy - RNA and transcriptomics (http://bit.ly/gcc2019-training#rna-workbench)

Alternative splicing - RNA and transcriptomics (http://bit.ly/gcc2019-training#alternative-splicing)

In-depth exploration of small RNAseq data - RNA and transcriptomics (http://bit.ly/gcc2019-training#a-galaxy-based-pipeline-for-bioinformatic-in-depth-exploration-of-small-rnaseq-data)

RNA folding and design - RNA and transcriptomics: (http://bit.ly/gcc2019-training#rna-folding-and-design)

Single cell RNA-seq analysis - RNA and transcriptomics (http://bit.ly/gcc2019-training#single-cell-analysis)

CLIP-Seq data analysis from pre-processing to motif detection - RNA and transcriptomics (http://bit.ly/gcc2019-training#clip-seq-data-analysis-from-pre-processing-to-motif-detection)

Reference-based RNA-seq analysis - RNA and transcriptomics (http://bit.ly/gcc2019-training#reference-based-rna-seq-analysis)

Assembly, annotation and analysis of bacterial genomes - Assembly & annotation (http://bit.ly/gcc2019-training#assembly-and-annotation-of-bacterial-genomes)

Genomic assembly and data analysis in Galaxy with Nanopore ONT long read sequencing - Assembly & annotation(http://bit.ly/gcc2019-training#genomic-assembly-and-data-analysis-in-galaxy-with-nanopore-ont-long-read-sequencing)

Annotation of Eukaryotic Genomes I - Assembly & annotation (http://bit.ly/gcc2019-training#annotation-of-eukaryotic-genomes-i)

Annotation of Eukaryotic Genomes II - Assembly & annotation (http://bit.ly/gcc2019-training#annotation-of-eukaryotic-genomes-ii)

Proteomic data analysis - Proteomics (http://bit.ly/gcc2019-training#proteomic-data-analysis-with-galaxy)

MALDI imaging of peptides data analysis - Proteomics (http://bit.ly/gcc2019-training#maldi-imaging-of-peptides-data-analysis-with-galaxy)

EWAS data analysis for population epigenetics integrated into Galaxy - Epigenetics (http://bit.ly/gcc2019-training#ewas-data-analysis-for-population-epigenetics-integrated-into-galaxy)

DNA Methylation data analysis - Epigenetics (http://bit.ly/gcc2019-training#dna-methylation-data-analysis)

Hi-C analysis - Epigenetics (http://bit.ly/gcc2019-training#hi-c-analysis)

ChIP-seq data analysis - Epigenetics (http://bit.ly/gcc2019-training#chip-seq-data-analysis)

Variant calling I - from sequenced reads to variant lists - Variant analysis (http://bit.ly/gcc2019-training#variant-calling-i-from-sequenced-reads-to-variant-lists)

Variant Calling II - causative variant discovery (http://bit.ly/gcc2019-training#variant-calling-ii-causative-variant-discovery)

Populations genomics with RADseq (http://bit.ly/gcc2019-training#population-genomics)

Import, handle, visualize and analyze biodiversity data in Galaxy (http://bit.ly/gcc2019-training#ecology)

Metatranscriptomics & multi-omics microbiome analysis (http://bit.ly/gcc2019-training#metatranscriptomics-multi-omics-microbiome-analysis)

Metabolomics data analysis (http://bit.ly/gcc2019-training#metabolomics-data-analysis)

Misc

Handling integrated biological data using Python, Jupyter, and InterMine (http://bit.ly/gcc2019-training#handling-integrated-biological-data-using-python-jupyter-and-intermine)

Train the Galaxy Trainer (http://bit.ly/gcc2019-training#train-the-galaxy-trainer)

Making your open source project awesome (http://bit.ly/gcc2019-training#making-your-open-source-project-awesome)

Machine learning with Galaxy (http://bit.ly/gcc2019-training#machine-learning-with-galaxy)

Admin & Dev

Intro to Galaxy Administration - step I (http://bit.ly/gcc2019-training#intro-to-galaxy-administration-step-i)

Intro to Galaxy Administration - step II (http://bit.ly/gcc2019-training#intro-to-galaxy-administration-step-ii)

Intro to Galaxy Administration - step III (http://bit.ly/gcc2019-training#intro-to-galaxy-administration-step-iii)

How to create a Galaxy Tool (http://bit.ly/gcc2019-training#how-to-create-a-galaxy-tool)

Scripting Galaxy through BioBlend (http://bit.ly/gcc2019-training#scripting-galaxy-through-bioblend)

Running Galaxy on Kubernetes (http://bit.ly/gcc2019-training#running-galaxy-on-kubernetes)

Using Galaxy for bridging WGS and Clinical Genetic Diagnostics (http://bit.ly/gcc2019-training#using-galaxy-for-bridging-wgs-and-clinical-genetic-diagnostics)

Visualisation development in Galaxy (http://bit.ly/gcc2019-training#visualisation-development-in-galaxy)

Galaxy Interactive Environments (http://bit.ly/gcc2019-training#galaxy-interactive-environments)

Galaxy Code Architecture (http://bit.ly/gcc2019-training#galaxy-code-architecture)

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