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Keywords: Exploratory-analysis  or metagenomics  or Shell  or Galaxy 


Galaxy Proteomics workshop Prague 2018

Materials from the ELIXIR workshop “Galaxy Proteomics workshop Prague 2018”, Oct 4-5 2018 at the IOCB, Prague, Czech Republic

Scientific topics: Proteomics

Keywords: Galaxy, training, proteomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Galaxy Proteomics workshop Prague 2018 https://tess.elixir-europe.org/materials/galaxy-proteomics-workshop-prague-2018 Materials from the ELIXIR workshop “Galaxy Proteomics workshop Prague 2018”, Oct 4-5 2018 at the IOCB, Prague, Czech Republic Andrea Argentini Frederik Coppens Pavel Dvorak Matthias Fahrner Melanie Foell Björn Grüning Martin Hubalek Hana Pergl Sustkova Marek Vrbacky Proteomics Galaxy, training, proteomics, eLearning, EeLP life scientists Researchers PhD Students
ELIXIR TtR course: Basic genomics using advanced analysis tools

Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia

Scientific topics: Genomics

Keywords: Galaxy, training, Genomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

ELIXIR TtR course: Basic genomics using advanced analysis tools https://tess.elixir-europe.org/materials/elixir-ttr-course-basic-genomics-using-advanced-analysis-tools Materials from the ELIXIR workshop “ELIXIR TtR course: Basic genomics using advanced analysis tools”, Nov 5-6 2018 at the University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia Christophe Antoniewski Olivier Inizan Genomics Galaxy, training, Genomics, eLearning, EeLP life scientists beginner bioinformaticians Postgraduate students
PhenoMeNal: accessing metabolomics workflows in Galaxy

A description of PhenoMeNal and when to use it, the creation of a cloud research environment and how to access Galaxy workflows via PhenoMeNal.

Scientific topics: Chemical biology, Metabolomics

Keywords: Galaxy

PhenoMeNal: accessing metabolomics workflows in Galaxy https://tess.elixir-europe.org/materials/phenomenal-accessing-metabolomics-workflows-in-galaxy A description of PhenoMeNal and when to use it, the creation of a cloud research environment and how to access Galaxy workflows via PhenoMeNal. Chemical biology Metabolomics Galaxy Beginners
Exercices on Galaxy: metagenomics

Find Rapidly OTU with Galaxy Solution

Keywords: Galaxy, Metagenomics

Exercices on Galaxy: metagenomics https://tess.elixir-europe.org/materials/exercices-on-galaxy-metagenomics Find Rapidly OTU with Galaxy Solution Galaxy, Metagenomics
ToolShed upload and tool-iuc PR

Questions What is a Tool Shed? How to install tools and workflows from a Tool Shed into a Galaxy instance? What are the Tool Shed repository types? How to publish with Planemo? Objectives Discover what is a Tool Shed Be able to install tools and workflows from a Tool Shed into a...

Keywords: Galaxy

ToolShed upload and tool-iuc PR https://tess.elixir-europe.org/materials/toolshed-upload-and-tool-iuc-pr Questions What is a Tool Shed? How to install tools and workflows from a Tool Shed into a Galaxy instance? What are the Tool Shed repository types? How to publish with Planemo? Objectives Discover what is a Tool Shed Be able to install tools and workflows from a Tool Shed into a Galaxy instance Be able to publish tools with Planemo Galaxy
BioBlend API

BioBlend module, a python library to use Galaxy API

Keywords: API, Galaxy, Python

BioBlend API https://tess.elixir-europe.org/materials/bioblend-api BioBlend module, a python library to use Galaxy API API, Galaxy, Python
Galaxy Visualisation - Slides

Questions How can visualization plugins benefit science? Objectives Implement a first Galaxy visualization Understand the client side vs. server side principle

Keywords: Galaxy

Galaxy Visualisation - Slides https://tess.elixir-europe.org/materials/galaxy-visualisation-slides Questions How can visualization plugins benefit science? Objectives Implement a first Galaxy visualization Understand the client side vs. server side principle Galaxy
Galaxy Configuration Hierarchy

How to configure your local instance of Galaxy

Keywords: Galaxy

Galaxy Configuration Hierarchy https://tess.elixir-europe.org/materials/galaxy-configuration-hierarchy How to configure your local instance of Galaxy Galaxy
Galaxy Interactive Tour

Questions What is a Galaxy Interactive Tour? How to create a Galaxy Interactive Tour? Objectives Discover what is a Galaxy Interactive Tour Be able to create a Galaxy Interactive Tour Be able to add a Galaxy Interactive Tour in a Galaxy instance

Keywords: Galaxy

Galaxy Interactive Tour https://tess.elixir-europe.org/materials/galaxy-interactive-tour Questions What is a Galaxy Interactive Tour? How to create a Galaxy Interactive Tour? Objectives Discover what is a Galaxy Interactive Tour Be able to create a Galaxy Interactive Tour Be able to add a Galaxy Interactive Tour in a Galaxy instance Galaxy
Tool development and integration into Galaxy

Questions: What is a tool for Galaxy? How to build a tool/wrapper with the good practices? How to deal with the tool environment? Objectives: Discover what is a wrapper and its structure Use the Planemo utilities to develop a good wrapper Deal with the dependencies Write functional...

Keywords: Galaxy

Tool development and integration into Galaxy https://tess.elixir-europe.org/materials/tool-development-and-integration-into-galaxy Questions: What is a tool for Galaxy? How to build a tool/wrapper with the good practices? How to deal with the tool environment? Objectives: Discover what is a wrapper and its structure Use the Planemo utilities to develop a good wrapper Deal with the dependencies Write functional tests Make a tool ready for publishing in a ToolShed Galaxy
Galaxy Installation

How to install a local instance of Galaxy

Keywords: Galaxy

Galaxy Installation https://tess.elixir-europe.org/materials/galaxy-installation How to install a local instance of Galaxy Galaxy
Galaxy Handlers

Galaxy is a web application that uses handlers to perform actions. There are two main types of actions that are carried out by handlers: Respond to user requests; These actions are carried out by web handlers Manage the execution of tools; These actions are performed by job handlers. By...

Keywords: Galaxy

Galaxy Handlers https://tess.elixir-europe.org/materials/galaxy-handlers Galaxy is a web application that uses handlers to perform actions. There are two main types of actions that are carried out by handlers: Respond to user requests; These actions are carried out by web handlers Manage the execution of tools; These actions are performed by job handlers. By default, Galaxy is configured to run a single handler that handles both user queries and jobs. Depending on the number of users accessing your Galaxy instance or the number of jobs you need to manage you may need to start web handlers or additional job handlers. Galaxy
Development in Galaxy

Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Here, you will find some materials to learn how to contribute to Galaxy project.

Keywords: Galaxy

Development in Galaxy https://tess.elixir-europe.org/materials/development-in-galaxy Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Here, you will find some materials to learn how to contribute to Galaxy project. Galaxy
Training on Galaxy : Metagenomics

Find Rapidly OTU with Galaxy Solution

Keywords: Galaxy, Metagenomics

Training on Galaxy : Metagenomics https://tess.elixir-europe.org/materials/training-on-galaxy-metagenomics Find Rapidly OTU with Galaxy Solution Galaxy, Metagenomics
Initiation to Galaxy

DNA-sequence analysis: from raw reads to variants calling within the galaxy environement.

Keywords: DNA Analysis, Galaxy, Variant calling

Initiation to Galaxy https://tess.elixir-europe.org/materials/initiation-to-galaxy DNA-sequence analysis: from raw reads to variants calling within the galaxy environement. DNA Analysis, Galaxy, Variant calling
Docker and Galaxy

Questions Why Docker? What is it? How to use Docker? How to integrate Galaxy in Docker to facilitate its deployment? Objectives Docker basics Galaxy Docker image (usage) Galaxy Docker (internals) Galaxy flavours

Keywords: Docker, Galaxy

Docker and Galaxy https://tess.elixir-europe.org/materials/docker-and-galaxy Questions Why Docker? What is it? How to use Docker? How to integrate Galaxy in Docker to facilitate its deployment? Objectives Docker basics Galaxy Docker image (usage) Galaxy Docker (internals) Galaxy flavours Docker, Galaxy
Galactic Database

How to choose a database for Galaxy and configure it

Keywords: Galaxy

Galactic Database https://tess.elixir-europe.org/materials/galactic-database How to choose a database for Galaxy and configure it Galaxy
Connecting Galaxy to a compute cluster

Problems Running jobs on the Galaxy server negatively impacts Galaxy UI performance Even adding one other host helps Can restart Galaxy without interrupting jobs Solution: Connecter Galaxy to a computing cluster

Keywords: Cluster, Galaxy

Connecting Galaxy to a compute cluster https://tess.elixir-europe.org/materials/connecting-galaxy-to-a-compute-cluster Problems Running jobs on the Galaxy server negatively impacts Galaxy UI performance Even adding one other host helps Can restart Galaxy without interrupting jobs Solution: Connecter Galaxy to a computing cluster Cluster, Galaxy
Users, Groups, and Quotas in Galaxy

How to handle Users, Groups, and Quotas in Galaxy

Keywords: Galaxy

Users, Groups, and Quotas in Galaxy https://tess.elixir-europe.org/materials/users-groups-and-quotas-in-galaxy How to handle Users, Groups, and Quotas in Galaxy Galaxy
Defining and importing genomes, Data Managers into Galaxy

Intro to built in datasets Built in data hierarchy Some problems Data Managers

Keywords: Galaxy

Defining and importing genomes, Data Managers into Galaxy https://tess.elixir-europe.org/materials/defining-and-importing-genomes-data-managers-into-galaxy Intro to built in datasets Built in data hierarchy Some problems Data Managers Galaxy
Galaxy Docker Training Tutorial

Galaxy docker integration Enable Galaxy to use BioContainers (Docker) Galaxy with Docker swarm

Keywords: Docker, Galaxy

Galaxy Docker Training Tutorial https://tess.elixir-europe.org/materials/galaxy-docker-training-tutorial Galaxy docker integration Enable Galaxy to use BioContainers (Docker) Galaxy with Docker swarm Docker, Galaxy
Galaxy Administration

How to use the administation panel of Galaxy

Keywords: Galaxy

Galaxy Administration https://tess.elixir-europe.org/materials/galaxy-administration How to use the administation panel of Galaxy Galaxy
(Proxy) Web Server Choices and Configuration

Installation and configuration of NGiNX for Galaxy

Keywords: Galaxy, NGiNX

(Proxy) Web Server Choices and Configuration https://tess.elixir-europe.org/materials/proxy-web-server-choices-and-configuration Installation and configuration of NGiNX for Galaxy Galaxy, NGiNX
Mapping reads on Galaxy server

This is the presentation of the first Galaxy workshop

Keywords: Galaxy, IBERS, Institute of Biological, Environmental and Rural Sciences

Mapping reads on Galaxy server https://tess.elixir-europe.org/materials/mapping-reads-on-galaxy-server This is the presentation of the first Galaxy workshop Galaxy, IBERS, Institute of Biological, Environmental and Rural Sciences
Who is doing what on the cheese surface? Overview of the cheese microbial ecosystem functioning by metatranscriptomic analyses

Cheese ripening is a complex biochemical process driven by microbial communities composed of both eukaryotes and prokaryotes. Surface-ripened cheeses are widely consumed all over the world and are appreciated for their characteristic flavor. Microbial community composition has been studied for a...

Keywords: metagenomics

Who is doing what on the cheese surface? Overview of the cheese microbial ecosystem functioning by metatranscriptomic analyses https://tess.elixir-europe.org/materials/who-is-doing-what-on-the-cheese-surface-overview-of-the-cheese-microbial-ecosystem-functioning-by-metatranscriptomic-analyses-55c4b5d0-ba6e-4ae0-879f-7bc27c10b3eb Cheese ripening is a complex biochemical process driven by microbial communities composed of both eukaryotes and prokaryotes. Surface-ripened cheeses are widely consumed all over the world and are appreciated for their characteristic flavor. Microbial community composition has been studied for a long time on surface-ripened cheeses, but only limited knowledge has been acquired about its in situ metabolic activities. We used an iterative sensory procedure to select a simplified microbial consortium, composed of only nine species (three yeasts and six bacteria), producing the odor of Livarot-type cheese when inoculated in a sterile cheese curd. All the genomes were sequenced in order to determine the functional capacities of the different species and facilitate RNA-Seq data analyses. We followed the ripening process of experimental cheeses made using this consortium during four weeks, by metatranscriptomic and biochemical analyses. By combining all of the data, we were able to obtain an overview of the cheese maturation process and to better understand the metabolic activities of the different community members and their possible interactions. We next applied the same approach to investigate the activity of the microorganisms in real cheeses, namely Reblochon-style cheeses. This provided useful insights into the physiological changes that occur during cheese ripening, such as changes in energy substrates, anabolic reactions, or stresses. metagenomics 2016-12-15 2017-01-11
Soil metagenomics, potential and pitfalls

The soil microorganisms are responsible for a range of critical functions including those that directly affect our quality of life (e.g., antibiotic production and resistance – human and animal health, nitrogen fixation -agriculture, pollutant degradation – environmental bioremediation)....

Keywords: metagenomics

Soil metagenomics, potential and pitfalls https://tess.elixir-europe.org/materials/soil-metagenomics-potential-and-pitfalls-04d3bb46-36ba-47c0-9993-9c7d0aacad32 The soil microorganisms are responsible for a range of critical functions including those that directly affect our quality of life (e.g., antibiotic production and resistance – human and animal health, nitrogen fixation -agriculture, pollutant degradation – environmental bioremediation). Nevertheless, genome structure information has been restricted by a large extent to a small fraction of cultivated species. This limitation can be circumvented now by modern alternative approaches including metagenomics or single cell genomics. Metagenomics includes the data treatment of DNA sequences from many members of the microbial community, in order to either extract a specific microorganism’s genome sequence or to evaluate the community function based on the relative quantities of different gene families. In my talk I will show how these metagenomic datasets can be used to estimate and compare the functional potential of microbial communities from various environments with a special focus on antibiotic resistance genes. However, metagenomic datasets can also in some cases be partially assembled into longer sequences representing microbial genetic structures for trying to correlate different functions to their co-location on the same genetic structure. I will show how the microbial community composition of a natural grassland soil characterized by extremely high microbial diversity could be managed for sequentially attempt to reconstruct some bacterial genomes. Metagenomics can also be used to exploit the genetic potential of environmental microorganisms. I will present an integrative approach coupling rrs phylochip and high throughput shotgun sequencing to investigate the shift in bacterial community structure and functions after incubation with chitin. In a second step, these functions of potential industrial interest can be discovered by using hybridization of soil metagenomic DNA clones spotted on high density membranes by a mix of oligonucleotide probes designed to target genes encoding for these enzymes. After affiliation of the positive hybridizing spots to the corresponding clones in the metagenomic library the inserts are sequenced, DNA assembled and annotated leading to identify new coding DNA sequences related to genes of interest with a good coverage but a low similarity against closest hits in the databases confirming novelty of the detected and cloned genes. metagenomics 2016-12-16 2017-01-11
Welcome message

Presentation of the workshop (Chairman: Claudine Médigue)

Keywords: metagenomics

Welcome message https://tess.elixir-europe.org/materials/welcome-message-69dc597e-f839-448f-9c9d-3622ddffd592 Presentation of the workshop (Chairman: Claudine Médigue) metagenomics 2016-12-15 2017-01-11
Sequencing 6000 chloroplast genomes : the PhyloAlps project

Biodiversity is now commonly described by DNA based approches. Several actors are currently using DNA to describe biodiversity, and most of the time they use different genetic markers that is hampering an easy sharing of the accumulated knowledges. Taxonomists rely a lot on the DNA Barcoding...

Keywords: metagenomics

Sequencing 6000 chloroplast genomes : the PhyloAlps project https://tess.elixir-europe.org/materials/sequencing-6000-chloroplast-genomes-the-phyloalps-project-a2b30d75-061a-4663-a5b8-593842df23bf Biodiversity is now commonly described by DNA based approches. Several actors are currently using DNA to describe biodiversity, and most of the time they use different genetic markers that is hampering an easy sharing of the accumulated knowledges. Taxonomists rely a lot on the DNA Barcoding initiative, phylogeneticists often prefer markers with better phylogenic properties, and ecologists, with the coming of the DNA metabarcoding, look for a third class of markers easiest to amplify from environmental DNA. Nevertheless they have all the same need of the knowledge accumulated by the others. But having different markers means that the sequecences have been got from different individuals in differente lab, following various protocoles. On that base, building a clean reference database, merging for each species all the available markers becomes a challenge. With the phyloAlps project we implement genome skimming at a large scale and propose it as a new way to set up such universal reference database usable by taxonomists, phylogeneticists, and ecologists. The Phyloalps project is producing for each species of the Alpine flora at least a genome skim composed of six millions of 100bp sequence reads. From such data it is simple to extract all chloroplastic, mitochondrial and nuclear rDNA markers commonely used. Moreover, most of the time we can get access to the complete chloroplast genome sequence and to a shallow sequencing of many nuclear genes. This methodes have already been successfully applied to algeae, insects and others animals. With the new single cell sequencing methods it will be applicable to most of the unicellular organisms. The good question is now : Can we consider the genome skimming as the next-generation DNA barcode ? metagenomics 2016-12-16 2017-01-11
From Samples to Data : Assuring Downstream Analysis with Upstream Planning

Metagenomic studies have gained increasing popularity in the years since the introduction of next generation sequencing. NGS allows for the production of millions of reads for each sample without the intermediate step of cloning. However, just as in the past, the quality of the data generate by...

Keywords: metagenomics

From Samples to Data : Assuring Downstream Analysis with Upstream Planning https://tess.elixir-europe.org/materials/from-samples-to-data-assuring-downstream-analysis-with-upstream-planning-6fac0f49-b453-4c15-a409-9753fb27ee9b Metagenomic studies have gained increasing popularity in the years since the introduction of next generation sequencing. NGS allows for the production of millions of reads for each sample without the intermediate step of cloning. However, just as in the past, the quality of the data generate by this powerful technology depends on sample preparation, library construction and the selection of appropriate sequencing technology and sequencing depth. Here we explore the different variables involved in the process of preparing samples for sequencing analysis including sample collection, DNA extraction and library construction. We also examine the various sequencing technologies deployed for routine metagenomic analysis and considerations for their use in different model systems including humans, mouse and the environment. Future developments such as long-reads will also be discussed to provide a complete picture of important aspects prior to data analyses which play a critical role in the success of metagenomic studies. metagenomics 2017-01-11
Revealing and analyzing microbial networks: from topology to functional behaviors

Understanding the interactions between microbial communities and their environment well enough to be able to predict diversity on the basis of physicochemical parameters is a fundamental pursuit of microbial ecology that still eludes us. However, modeling microbial communities is a complicated...

Keywords: metagenomics

Revealing and analyzing microbial networks: from topology to functional behaviors https://tess.elixir-europe.org/materials/revealing-and-analyzing-microbial-networks-from-topology-to-functional-behaviors-14d83c7f-c5f9-4738-8cd5-42e48a1088f7 Understanding the interactions between microbial communities and their environment well enough to be able to predict diversity on the basis of physicochemical parameters is a fundamental pursuit of microbial ecology that still eludes us. However, modeling microbial communities is a complicated task, because (i) communities are complex, (ii) most are described qualitatively, and (iii) quantitative understanding of the way communities interacts with their surroundings remains incomplete. Within this seminar, we will illustrate two complementary approaches that aim to overcome these points in different manners. metagenomics 2016-12-16 2017-01-11