Microbial analysis using Galaxy
Community, Projects, Workflows, Tools, and Training
By Paul Zierep (Galaxy Freiburg)
OSA2Micro, Turin, July 2023
Content
Galaxy Introduction - Huge increase in Sequencing Data
Galaxy Introduction
Galaxy Introduction
Galaxy Introduction
Galaxy GUI
Galaxy Tools
Galaxy behind the scenes - Wrapping a tool
Wrapping a tool
Update infrastructure
Planemo: a command-line toolkit for developing, deploying, and executing scientific data analyses, 2022
Training
Running a tool
Select your
Each tool comes with
Running a tool - database interaction
Running a tool - interactive tools
Running a tool - interactive tools (Phinch)
Running a tool - interactive tools (Phinch)
Running a tool - interactive tools (Phinch)
History - handle the data
History - handle the data
Data Preview and visualization
Data Preview and visualization
Data Preview and visualization
Workflow building
Workflow building
How?
Why?
Workflow building - graphical workflow editor
Workflow building - share, import, store, update
The European Galaxy server
Galaxy - Training - Gallantries
Galaxy - Training
Galaxy - Training
Galaxy - Training
Galaxy - Training
Galaxy - learn more
How?
microGalaxy Community - a community of practice for everything related to micro*
microGalaxy Community - Working Groups
microGalaxy Community - a community of practice for everything related to micro*
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
microGalaxy Community - survey
Galaxy for microbial analysis
Galaxy for genomics and transcriptomics
Galaxy for genomics and transcriptomics
Galaxy for genomics and transcriptomics
Galaxy for genomics and transcriptomics
Galaxy for genomics and transcriptomics
Galaxy for genomics and transcriptomics
Galaxy for microbiome (meta*omics) analysis
Galaxy for microbiome analysis
Amplicon
analysis
https://astrobiomike.github.io/
Amplicon analysis
Comparison: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964864/
Amplicon analysis - BeerDeCoded - Street Science
BeerDeCoded: the open beer metagenome project, F1000Res, 2017
Amplicon analysis - BeerDeCoded
https://astrobiomike.github.io/
ASaiM-(MT): a Galaxy-based framework to analyze microbiome data
ASaiM-(MT): a Galaxy-based framework to analyze microbiome data
Accessible and scalable
pipelines for fast and easy
(foodborne) pathogens
detection and tracking
Predictive Metagenomics - Identification of parameters indicative of disease development by Helicobacter pylori predict.
Identification of parameters indicative of disease development by Helicobacter pylori predict.
Identification of parameters indicative of disease development by Helicobacter pylori predict
16S rDNA | gene expression | metabolites | immune status | H. pylori SNPs |
0.1,0.3,0.6 | … | … | | |
0.2,0.4,0.4 | … | … | | |
… | … | … | | |
… | … | … | | |
Infected / Not-infected | H. pylori benign/ malign |
0 | - |
1 | 0 |
1 | 1 |
0 | - |
ML
WF1
WF2
WF3
WF4
WF5
Curse of dimensionality
Curse of dimensionality - DeepMicro
DeepMicro: deep representation learning for disease prediction based
on microbiome data, 2020, Scientific Reports
Thank you very much for your attention !