1. Home
  2. Materials
Register training material
38 materials found

Licence: Creative Commons Attributio... 

Machine Learning & BioStatistics Hackathon 2020

Materials created at the Machine Learning and BioStatistics hackathon organised by ELIXIR-GR (CERTH) in October and November 2020.

Scientific topics: Computer science, Statistics and probability, Machine learning

Keywords: machine learning, biostatistics, eLearning, EeLP

Resource type: Training materials

Machine Learning & BioStatistics Hackathon 2020 http://tess.elixir-uk.org/materials/machine-learning-biostatistics-hackathon-2020 Materials created at the Machine Learning and BioStatistics hackathon organised by ELIXIR-GR (CERTH) in October and November 2020. Computer science Statistics and probability Machine learning machine learning, biostatistics, eLearning, EeLP Life Science Researchers statisticians Training Designers Training instructors Trainers
HPC Hackathon Materials

Materials developed at the HPC hackathon hosted by ELIXIR-SI (UL) in May and June 2021.

Scientific topics: Computer science

Keywords: HPC, high-performance computing, eLearning, EeLP

Resource type: Training materials

HPC Hackathon Materials http://tess.elixir-uk.org/materials/hpc-hackathon-materials Materials developed at the HPC hackathon hosted by ELIXIR-SI (UL) in May and June 2021. Computer science HPC, high-performance computing, eLearning, EeLP Life Science Researchers Training Designers Training instructors Trainers
Containers and Workflows training materials hackathon

Materials developed at the Containers and Workflows hackathon organised by ELIXIR-BE (VIB) in February and April 2021.

Scientific topics: Computer science

Keywords: Containers, Workflows, eLearning, EeLP

Resource type: Training materials

Containers and Workflows training materials hackathon http://tess.elixir-uk.org/materials/containers-and-workflows-training-materials-hackathon Materials developed at the Containers and Workflows hackathon organised by ELIXIR-BE (VIB) in February and April 2021. Computer science Containers, Workflows, eLearning, EeLP Life Science Researchers Training Designers Training instructors Trainers
DSW Workshop for Finnish Data Support Personnel

Presentation from DSW Workshop to explain what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. It also briefly explains the versability of DSW, possibilities of integrations with...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

DSW Workshop for Finnish Data Support Personnel http://tess.elixir-uk.org/materials/dsw-workshop-for-finnish-data-support-personnel Presentation from DSW Workshop to explain what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. It also briefly explains the versability of DSW, possibilities of integrations with other systems in institutions, and other customizations. Data management DMP, DMP tools, data stewardship, FAIR, FAIR data Researchers data stewards
Helis Academy course FAIR data stewardship 2021, Day 6, Metadata

This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 6, March 31, 2021

Scientific topics: Data management, FAIR data

Operations: Data handling

Keywords: FAIR, Data management planning, Metadata

Resource type: Slidedeck

Helis Academy course FAIR data stewardship 2021, Day 6, Metadata http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-6-metadata This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 6, March 31, 2021 Data management FAIR data FAIR, Data management planning, Metadata PhD candidates
DSW Template Development Kit: The Tutorial

[Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines...

Scientific topics: Data management

Keywords: data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development

Resource type: Video, Slides, Webinar

DSW Template Development Kit: The Tutorial http://tess.elixir-uk.org/materials/dsw-template-development-kit-the-tutorial [Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines (e.g. RDF, YAML, or JSON). Our Template Development Kit (DSW TDK) is a command-line tool to make the work on templates efficient. Data management data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development data stewards data managers
Plant Phenotyping Data managment Webinar (MIAPPE)

The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking...

Scientific topics: Data submission, annotation, and curation, Data quality management, Phenomics, Plant biology

Operations: Standardisation and normalisation

Resource type: Video, Slides

Plant Phenotyping Data managment Webinar (MIAPPE) http://tess.elixir-uk.org/materials/plant-phenotyping-data-managment-webinar-miappe The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples. The recording is available [here](https://youtu.be/4FOQPAWl6_M) and the slides are [here](https://drive.google.com/file/d/1FORlCX662T9dxiG4uzQwVXDXnq-sP0FP/view?usp=sharing) Cyril Pommier Anne-Françoise Adam-Blondon Célia Michotey Data submission, annotation, and curation Data quality management Phenomics Plant biology Researchers Biologists, Genomicists, Computer Scientists Biologists software developers, bioinformaticians
How to use Common Workflow Language

**This is an online tutorial where you can learn how to use the Common Workflow Language (CWL).**

Scientific topics: Workflows

Keywords: commonwl, common workflow language, CWL, Workflows, eLearning, EeLP

Resource type: Installation instructions, Manual

How to use Common Workflow Language http://tess.elixir-uk.org/materials/how-to-use-common-workflow-language **This is an online tutorial where you can learn how to use the Common Workflow Language (CWL).** Rob Finn Michael Crusoe Workflows commonwl, common workflow language, CWL, Workflows, eLearning, EeLP bioinformaticians life scientists programmers
An introduction to the role of experimental data in Intellectual Property

data ownership the role of experimental data in acquiring a patent the role of data in establishing a prior use right trade secrets

Keywords: patents

Resource type: PDF

An introduction to the role of experimental data in Intellectual Property http://tess.elixir-uk.org/materials/an-introduction-to-the-role-of-experimental-data-in-intellectual-property data ownership the role of experimental data in acquiring a patent the role of data in establishing a prior use right trade secrets patents
How to install and deploy Beacon

**This is an OPEN-ACCESS online tutorial where you can learn how to install and deploy Beacon.**

Scientific topics: Genomics

Keywords: genomics, open access, eLearning, EeLP

Resource type: Video, Manual, Slides, Installation instructions

How to install and deploy Beacon http://tess.elixir-uk.org/materials/how-to-install-and-deploy-beacon **This is an OPEN-ACCESS online tutorial where you can learn how to install and deploy Beacon.** Juha Tornroos Sabela de la Torre Jordi Rambla Genomics genomics, open access, eLearning, EeLP life scientists Researchers
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 http://tess.elixir-uk.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
How to get the most out of your microarray experiment. A Webinar

Materials from the ELIXIR webinar "How to get the most out of your microarray experiment", Feb 14, 2017

Scientific topics: Microarray experiment

Keywords: life sciences, microarrays, eLearning, EeLP

Resource type: course materials, Training materials, Slides

How to get the most out of your microarray experiment. A Webinar http://tess.elixir-uk.org/materials/how-to-get-the-most-out-of-your-microarray-experiment-a-webinar Materials from the ELIXIR webinar "How to get the most out of your microarray experiment", Feb 14, 2017 Eva Freyhult Jessica Lindvall Mihaela Martis Microarray experiment life sciences, microarrays, eLearning, EeLP Researchers
ELIXIR eLearning definitions

Materials from the asynchronous learning course "ELIXIR eLearning definitions"

Keywords: eLearning, training, EeLP

Resource type: course materials, Training materials, Documentation

ELIXIR eLearning definitions http://tess.elixir-uk.org/materials/elixir-elearning-definitions Materials from the asynchronous learning course "ELIXIR eLearning definitions" Brane Leskosek Jure Dimec Eija Korpelainen Teresa Attwood Sarah Morgan Nicola Mulder Celia van Gelder Patricia Palagi eLearning, training, EeLP Researchers teachers Trainers
RNA-seq data analysis using Chipster

Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017

Scientific topics: Transcriptomics, Genomics

Keywords: transcriptomics, RNA-Seq, eLearning, EeLP

Resource type: course materials, Training materials, Slides, Video

RNA-seq data analysis using Chipster http://tess.elixir-uk.org/materials/rna-seq-data-analysis-using-chipster Materials from the ELIXIR tutorial “RNA-seq data analysis using Chipster”, Jan 31, 2017 Eija Korpelainen Maria Lehtivaara Transcriptomics Genomics transcriptomics, RNA-Seq, eLearning, EeLP Researchers
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 http://tess.elixir-uk.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
Hands-on workshop in Marine Metagenomics

Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway

Scientific topics: Marine biology, Metagenomics, Genomics

Keywords: Marine Metagenomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Hands-on workshop in Marine Metagenomics http://tess.elixir-uk.org/materials/hands-on-workshop-in-marine-metagenomics Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway Erik Hjerde Nils Peder Willassen Espen Aberg Espen Mikal Robertsen Marine biology Metagenomics Genomics Marine Metagenomics, eLearning, EeLP Researchers Master students PhD students
Implementation of Data Management Plans & Data Stewardship in practice

Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece.

Scientific topics: Data submission, annotation, and curation, Data management

Keywords: data management, data stewardship, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Implementation of Data Management Plans & Data Stewardship in practice http://tess.elixir-uk.org/materials/implementation-of-data-management-plans-data-stewardship-in-practice Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece. Celia van Gelder Roland Krause Mateusz Kuzak Brane Leskosek Marko Vidak Robert Pergl Marek Suchanek Jan Slifka Vojtech Knaisl Data submission, annotation, and curation Data management data management, data stewardship, eLearning, EeLP bioinformaticians data stewards
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 http://tess.elixir-uk.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 http://tess.elixir-uk.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: Victoria Dominguez Del Angel)

Keywords: biohackaton

Welcome message http://tess.elixir-uk.org/materials/welcome-message-69dc597e-f839-448f-9c9d-3622ddffd592 Presentation of the workshop (Chairman: Victoria Dominguez Del Angel) biohackaton 2016-12-15 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 http://tess.elixir-uk.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
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 http://tess.elixir-uk.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
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 http://tess.elixir-uk.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
Rationale and Tools to look for the unknown in (metagenomic) sequence data

The interpretation of metagenomic data (environmental, microbiome, etc, ...) usually involves the recognition of sequence similarity with previously identified (micro-organisms). This is for instance the main approach to taxonomical assignments and a starting point to most diversity analyses....

Keywords: metagenomics

Rationale and Tools to look for the unknown in (metagenomic) sequence data http://tess.elixir-uk.org/materials/rationale-and-tools-to-look-for-the-unknown-in-metagenomic-sequence-data-5dd1e1a8-6db2-4b78-b1fc-60e1a5fbcee8 The interpretation of metagenomic data (environmental, microbiome, etc, ...) usually involves the recognition of sequence similarity with previously identified (micro-organisms). This is for instance the main approach to taxonomical assignments and a starting point to most diversity analyses. When exploring beyond the frontier of known biology, one should expect a large proportion of environmental sequences not exhibiting any significant similarity with known organisms. Notably, this is the case for eukaryotic viruses belonging to new families, for which the proportion of "no match" could reach 90%. Most metagenomics studies tend to ignore this large fraction of sequences that might be the equivalent of "black matter" in Biology. We will present some of the ideas and tools we are using to extract that information from large metagenomics data sets in search of truly unknown microorganisms. One of the tools, "Seqtinizer", an interactive contig selection/inspection interface will also be presented in the context of "pseudo-metagenomic" projects, where the main organism under genomic study (such as sponges or corals) turns out to be (highly) mixed with an unexpected population of food, passing-by, or symbiotic microorganisms. metagenomics 2016-12-16 2017-01-11
Reconstructing genomes from metagenomes: The holy grail of microbiology

Shotgun metagenomics provides insights into a larger context of naturally occurring microbial genomes when short reads are assembled into contiguous DNA segments (contigs). Contigs are often orders of magnitude longer than individual sequences, offering improved annotations, and key information...

Keywords: metagenomics

Reconstructing genomes from metagenomes: The holy grail of microbiology http://tess.elixir-uk.org/materials/reconstructing-genomes-from-metagenomes-the-holy-grail-of-microbiology-be78338f-13ef-40d6-92cf-621fbccf8808 Shotgun metagenomics provides insights into a larger context of naturally occurring microbial genomes when short reads are assembled into contiguous DNA segments (contigs). Contigs are often orders of magnitude longer than individual sequences, offering improved annotations, and key information about the organization of genes in cognate genomes. Several factors affect the assembly performance, and the feasibility of the assembly-based approaches varies across environments. However, increasing read lengths, novel experimental approaches, advances in computational tools and resources, and improvements in assembly algorithms and pipelines render the assembly-based metagenomic workflow more and more accessible. The utility of metagenomic assembly remarkably increases when contigs are organized into metagenome-assembled genomes (MAGs). Often-novel MAGs frequently provide deeper insights into bacterial lifestyles that would otherwise remain unknown as evidenced by recent discoveries. The increasing rate of the recovery of MAGs presents new opportunities to link environmental distribution patterns of microbial populations and their functional potential, and transforms the field of microbiology by providing a more complete understanding of the microbial life, ecology, and evolution. metagenomics 2016-12-16 2017-01-11
New perspectives on nitrite-oxidizing bacteria - linking genomes to physiology

It is a generally accepted characteristic of the biogeochemical nitrogen cycle that nitrification is catalyzed by two distinct clades of microorganisms. First, ammonia-oxidizing bacteria and archaea convert ammonia to nitrite, which subsequently is oxidized to nitrate by nitrite-oxidizing...

Keywords: metagenomics

New perspectives on nitrite-oxidizing bacteria - linking genomes to physiology http://tess.elixir-uk.org/materials/new-perspectives-on-nitrite-oxidizing-bacteria-linking-genomes-to-physiology-6bc8b25e-043d-47f1-b184-c776d595fb7b It is a generally accepted characteristic of the biogeochemical nitrogen cycle that nitrification is catalyzed by two distinct clades of microorganisms. First, ammonia-oxidizing bacteria and archaea convert ammonia to nitrite, which subsequently is oxidized to nitrate by nitrite-oxidizing bacteria (NOB). The latter were traditionally perceived as physiologically restricted organisms and were less intensively studied than other nitrogen-cycling microorganisms. This picture is contrasted by new discoveries of an unexpected high diversity of mostly uncultured NOB and a great physiological versatility, which includes complex microbe-microbe interactions and lifestyles outside the nitrogen cycle. Most surprisingly, close relatives to NOB perform complete nitrification (ammonia oxidation to nitrate), a process that had been postulated to occur under conditions selecting for low growth rates but high growth yields. The existence of Nitrospira species that encode all genes required for ammonia and nitrite oxidation was first detected by metagenomic analyses of an enrichment culture for nitrogen-transforming microorganisms sampled from the anoxic compartment of a recirculating aquaculture system biofilter. Batch incubations and FISH-MAR experiments showed that these Nitrospira indeed formed nitrate from the aerobic oxidation of ammonia, and used the energy derived from complete nitrification for carbon fixation, thus proving that they indeed represented the long-sought-after comammox organisms. Their ammonia monooxygenase (AMO) enzymes were distinct from canonical AMOs, therefore rendering recent horizontal gene transfer from known ammonia-oxidizing microorganisms unlikely. Instead, their AMO displayed highest similarities to the “unusual” particulate methane monooxygenase from Crenothrix polyspora, thus shedding new light onto the function of this sequence group. This recognition of a novel AMO type indicates that a whole group of ammonia-oxidizing microorganisms has been overlooked, and will improve our understanding of the environmental abundance and distribution of this functional group. Data mining of publicly available metagenomes already indicated a widespread occurrence in natural and engineered environments like aquifers and paddy soils, and drinking and wastewater treatment systems. metagenomics 2016-12-16 2017-01-11
Prokaryotic Phylogeny on the Fly: databases and tools for online taxonomic identification

PPF (Prokaryotic Phylogeny on the Fly) is an automated pipeline allowing to compute molecular phylogenies for prokarotic organisms. It is based on a set of specialized databases devoted to SSU rRNA, the most commonly used marker for bacterial txonomic identification. Those databases are splitted...

Keywords: metagenomics

Prokaryotic Phylogeny on the Fly: databases and tools for online taxonomic identification http://tess.elixir-uk.org/materials/prokaryotic-phylogeny-on-the-fly-databases-and-tools-for-online-taxonomic-identification-84732559-32a2-4c4c-9c94-2bd3c3773717 PPF (Prokaryotic Phylogeny on the Fly) is an automated pipeline allowing to compute molecular phylogenies for prokarotic organisms. It is based on a set of specialized databases devoted to SSU rRNA, the most commonly used marker for bacterial txonomic identification. Those databases are splitted into different subsets using phylogenetic information. The procedure for computing a phylogeny is completely automated. Homologous sequence are first recruited through a BLAST search performed on a sequence (or a set of sequences). Then the homologous sequences detected are aligned using one of the multiple sequence alignment programs provided in the pipeline (MAFFT, MUSCLE or CLUSTALO). The alignment is then filtered using BMGE and a Maximum Likelihood (ML) tree is computed using the program FastTree. The tree can be rooted with an outgroup provided by the user and its leaves are coloured with a scheme related to the taxonomy of the sequences. The main advantage provided by PPF is that its databases are generated using a phylogeny-oriented procedure and and therefore much more efficient for phylogentic analyses that "generic" collections such as SILVA (in the case SSU rRNA) por GenBank. It is therefore much more suited to compute prokaryotic molecular phylogenies than related systems such as the Phylogeny.fr online system. PPF can be accessed online at https://umr5558-bibiserv.univ-lyon1.fr/lebibi/PPF-in.cgi metagenomics 2016-12-16 2017-01-11
Multiple Comparative Metagenomics using Multiset k-mer Counting

Large scale metagenomic projects aim to extract biodiversity knowledge between different environmental conditions. Current methods for comparing microbial communities face important limitations. Those based on taxonomical or functional assignation rely on a small subset of the sequences that can...

Keywords: metagenomics

Multiple Comparative Metagenomics using Multiset k-mer Counting http://tess.elixir-uk.org/materials/multiple-comparative-metagenomics-using-multiset-k-mer-counting-4c0add23-9776-4d57-8bd2-43ce078fd286 Large scale metagenomic projects aim to extract biodiversity knowledge between different environmental conditions. Current methods for comparing microbial communities face important limitations. Those based on taxonomical or functional assignation rely on a small subset of the sequences that can be associated to known organisms. On the other hand, de novo methods, that compare the whole set of sequences, do not scale up on ambitious metagenomic projects. These limitations motivated the development of a new de novo metagenomic comparative method, called Simka. This method computes a large collection of standard ecology distances by replacing species counts by k-mer counts. Simka scales-up today metagenomic projects thanks to a new parallel k-mer counting strategy on multiple datasets. Experiments on public Human Microbiome Project datasets demonstrate that Simka captures the essential underlying biological structure. Simka was able to compute in a few hours both qualitative and quantitative ecology distances on hundreds of metagenomic samples (690 samples, 32 billions of reads). We also demonstrate that analyzing metagenomes at the k-mer level is highly correlated with extremely precise de novo comparison techniques which rely on all-versus-all sequences alignment strategy. metagenomics 2016-12-16 2017-01-11
Holistic metagenomics in marine communities

Complex microscopic communities are composed of species belonging to all life realms, from single-cell prokaryotes to multicellular eukaryotes of small size. Each component of a community needs to be studied for a full understanding of the functions performed by the whole assemblage, however...

Keywords: metagenomics

Holistic metagenomics in marine communities http://tess.elixir-uk.org/materials/holistic-metagenomics-in-marine-communities-62c31138-1982-4acd-9750-35dea2e77dc2 Complex microscopic communities are composed of species belonging to all life realms, from single-cell prokaryotes to multicellular eukaryotes of small size. Each component of a community needs to be studied for a full understanding of the functions performed by the whole assemblage, however methods to investigate microbiomes are generally restricted to a single kingdom. Using examples from the Tara Oceans project, we will show how size fractionation and use of varied metabarcoding, metagenomics and metatranscriptomics approaches can help studying the marine plankton community as a whole, in a wide geographic space. metagenomics 2016-12-16 2017-01-11
MG-RAST — experiences from processing a quarter million metagenomic data sets

MG-RAST has been offering metagenomic analyses since 2007. Over 20,000 researchers have submitted data. I will describe the current MG-RAST implementation and demonstrate some of its capabilities. In the course of the presentation I will highlight several metagenomic pitfalls. MG-RAST:...

Keywords: metagenomics

MG-RAST — experiences from processing a quarter million metagenomic data sets http://tess.elixir-uk.org/materials/mg-rast-experiences-from-processing-a-quarter-million-metagenomic-data-sets-5c190d47-0371-4950-bee2-5ff5fccfc499 MG-RAST has been offering metagenomic analyses since 2007. Over 20,000 researchers have submitted data. I will describe the current MG-RAST implementation and demonstrate some of its capabilities. In the course of the presentation I will highlight several metagenomic pitfalls. MG-RAST: http://metagenomics.anl.gov MG-RAST-APP: http://api.metagenomics.anl.gov/api.html metagenomics 2016-12-16 2017-01-11