galaxy-training-izs3
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说明: 银河系靶向和全基因组数据宏基因组分析培训班,
(Training course on Galaxy for metagenomic analysis on targeting and whole genome data,)
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Gemfile.lock (2076, 2023-09-25)
LICENSE.md (1083, 2023-09-25)
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_includes/footer.html (322, 2023-09-25)
_includes/head.html (1561, 2023-09-25)
_includes/sidebar.html (1388, 2023-09-25)
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atom.xml (777, 2023-09-25)
extras/ (0, 2023-09-25)
extras/get_data.md (6920, 2023-09-25)
hands-on/ (0, 2023-09-25)
hands-on/18.hands-on.md (5483, 2023-09-25)
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images/07.krona_pie-01.png (287588, 2023-09-25)
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images/08.krona_pie-02.png (282722, 2023-09-25)
images/08.phinch-01.png (85193, 2023-09-25)
images/08.phinch-02.png (64998, 2023-09-25)
images/101_13.png (186563, 2023-09-25)
images/16S-align_summary.png (21596, 2023-09-25)
images/16S-count_seq.png (100078, 2023-09-25)
images/16S_gene.png (820512, 2023-09-25)
images/16S_merge_contigs.png (66698, 2023-09-25)
images/16S_variableregions.jpg (67927, 2023-09-25)
images/CRS4-HPC-logo.png (62646, 2023-09-25)
images/CRS4-NEXT-logo.png (50324, 2023-09-25)
images/CRS4-logo.png (26313, 2023-09-25)
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images/FoodBorne-Workflow-updated.png (2971013, 2023-09-25)
images/GTN.png (1802744, 2023-09-25)
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# Training course on Galaxy for metagenomic analysis on targeting and whole genome data
[ https://next-crs4.github.io/galaxy-training-izs3](https://github.com/next-crs4/galaxy-training-izs3/blob/master/ https://next-crs4.github.io/galaxy-training-izs3)
## Welcome!
- Why are we here?
- What are your expectations?
- What do you need Galaxy for?
- What would you like to take home from the course?
## Learning outcomes
* Utilize Galaxy to upload data, employ tools, view project histories, and execute workflows.
* Employ statistical and scatterplot analysis to explore datasets.
* Proficiently manage data, including conversion, reformatting, filtering, and sorting of text-based information.
* Determine the most suitable approach for metagenomic data analysis.
* Discriminate between tools suited for amplicon and shotgun data analysis.
* Effectively visualize community structures.
* Execute 16S rRNA sequencing analysis within Galaxy using the mothur toolsuite.
* Assess sequencing experiment error rates via mock community data.
* Master the visualization of sample diversity through Krona and Phinch tools.
* Execute rigorous quality control of NGS raw data.
* Extract comprehensive community profiles from microbiome datasets.
* Proficiently reconstruct microorganism genomes within sampled communities.
* Evaluate the quality of metagenomic assemblies.
* Skillfully annotate bacterial genomes.
* Visualize and interpret annotated genomic features.
* Identify variants between reference genomes and read datasets.
* Interpret SNP data within the context of read alignments to the genome.
* Analyze the impact of variants on genomic features.
* Detect pathogens by identifying virulence factor gene products.
* Characterize strains and identify antimicrobial resistance genes within your samples.
## Computing resources
The computing resources for this training have been provided by the
CRS4 datacenter
You will receive all the details to connect to Galaxy Instance: [https://izs3.crs4.it](https://github.com/next-crs4/galaxy-training-izs3/blob/master/https://izs3.crs4.it)
## Agenda
### **April 18-20, 2023**
Title | Lecture / Practical
------|-------------------
**Galaxy at a Glance** | Lecture
**Introduction to Galaxy Analyses** | Lecture / Practical
**Exploring datasets with statistics and scatterplots** | Practical
**Data Manipulation** | Practical
**Introduction to Metagenomics** | Lecture
**Analyses of Metagenomics Data** | Lecture / Pracctical
**16S Microbial Analysis with mothur** | Practical
### **September 26-28, 2023**
Title | Lecture / Practical
------|-------------------
**Introduction to Visualisations in Galaxy** | Lecture
**Genomic Data Visualisation with JBrowse** | Practical
**From NCBI's Sequence Read Archive (SRA) to Galaxy** | Practical
**Quality Control** | Practical
**Taxonomic Profiling and Visualization of Metagenomic Data** | Lecture / Practical
**Assembly of metagenomic sequencing data** | Lecture / Practical
**Genome annotation with Prokka** | Lecture / Practical
**Microbial Variant Calling** | Lecture / Practical
**Pangenome Analysis** | Lecture / Practical
**Pathogen Detection** | Lecture / Practical
**Hands-On** | Practical
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