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Keywords: Exploratory-analysis  or metagenomics  or Roslin Institute  or HTS-introduction 


Phylogenetics & Phylogeography (Advanced Analytical Methods)

Phylogenetics and Phylogeography(Advanced Analytical Methods) Lecture by Dr Sam Lycett, filmed at The Roslin Institute, March 2015.

Keywords: Phylogenetics, Roslin Institute

Phylogenetics & Phylogeography (Advanced Analytical Methods) https://tess.elixir-europe.org/materials/phylogenetics-phylogeography-advanced-analytical-methods Phylogenetics and Phylogeography(Advanced Analytical Methods) Lecture by Dr Sam Lycett, filmed at The Roslin Institute, March 2015. Phylogenetics, Roslin Institute
Molecular epidemiology practical

Practical session with Dr. Emily Richardson, filmed at The Roslin Institute, March 2015.

Keywords: Molecular epidemiology, Roslin Institute

Molecular epidemiology practical https://tess.elixir-europe.org/materials/molecular-epidemiology-practical Practical session with Dr. Emily Richardson, filmed at The Roslin Institute, March 2015. Molecular epidemiology, Roslin Institute
Phylogenetic analysis of pathogens: Staphylococcus aureus, host switching and antibiotic resistance

Lecture by professor Ross Fitzgerald, filmed at The Roslin Institute, March 2015.

Keywords: Phylogenetic analysis, Roslin Institute

Phylogenetic analysis of pathogens: Staphylococcus aureus, host switching and antibiotic resistance https://tess.elixir-europe.org/materials/phylogenetic-analysis-of-pathogens-staphylococcus-aureus-host-switching-and-antibiotic-resistance Lecture by professor Ross Fitzgerald, filmed at The Roslin Institute, March 2015. Phylogenetic analysis, Roslin Institute
Graphical & Computational Modelling of Biological Pathways

Lecture by professor Tom Freeman. Filmed at The Roslin Institute, The University of Edinburgh, March 2015

Keywords: Graphical modelling, Roslin Institute

Graphical & Computational Modelling of Biological Pathways https://tess.elixir-europe.org/materials/graphical-computational-modelling-of-biological-pathways-d0b38ce1-0e2e-4ba9-9e0c-39c6af558782 Lecture by professor Tom Freeman. Filmed at The Roslin Institute, The University of Edinburgh, March 2015 Graphical modelling, Roslin Institute
An Introduction to BioLayout Express3D

Lecture by professor Tom Freeman. Filmed during a half-day training course held at The Roslin Institute, January 2015, aimed at training biologists with little or no experience of gene expression analysis the basics. Features 15 short films covering the background to data generation through to...

Keywords: Gene expression analysis, Roslin Institute

An Introduction to BioLayout Express3D https://tess.elixir-europe.org/materials/an-introduction-to-biolayout-express3d Lecture by professor Tom Freeman. Filmed during a half-day training course held at The Roslin Institute, January 2015, aimed at training biologists with little or no experience of gene expression analysis the basics. Features 15 short films covering the background to data generation through to deriving meaning using network analysis. - Course aims: the basics of expression data analysis introduction to graph-based analysis introduction to BioLayout Express3D data import navigation of graphs clustering graph analysis data export Gene expression analysis, Roslin Institute
Phylogenetics & Phylogeography Practical (Advanced Analytical Methods)

Practical session with Dr Sam Lycett, filmed at The Roslin Institute, March 2015.

Keywords: Phylogenetics, Phylogeography, Roslin Institute

Phylogenetics & Phylogeography Practical (Advanced Analytical Methods) https://tess.elixir-europe.org/materials/phylogenetics-phylogeography-practical-advanced-analytical-methods Practical session with Dr Sam Lycett, filmed at The Roslin Institute, March 2015. Phylogenetics, Phylogeography, Roslin Institute
Graphical & Computational Modelling of Biological Pathways

Lecture by professor Tom Freeman. Filmed at The Roslin Institute, The University of Edinburgh, March 2015

Keywords: Graphical modelling, Computational modelling, Roslin Institute

Graphical & Computational Modelling of Biological Pathways https://tess.elixir-europe.org/materials/graphical-computational-modelling-of-biological-pathways Lecture by professor Tom Freeman. Filmed at The Roslin Institute, The University of Edinburgh, March 2015 Graphical modelling, Computational modelling, Roslin Institute
SAS Introduction

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, April 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: SAS, Roslin Institute

SAS Introduction https://tess.elixir-europe.org/materials/sas-introduction Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, April 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. SAS, Roslin Institute
A Brief Introduction to R

A short training session with Dr. Ian Handel at The Roslin Institute, April 2015

Keywords: R language, Roslin Institute

A Brief Introduction to R https://tess.elixir-europe.org/materials/a-brief-introduction-to-r A short training session with Dr. Ian Handel at The Roslin Institute, April 2015 R language, Roslin Institute
Summarising Data

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Summarising data, Roslin Institute

Summarising Data https://tess.elixir-europe.org/materials/summarising-data Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Summarising data, Roslin Institute
Basic Statistical Tests

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Statistical tests, Roslin Institute

Basic Statistical Tests https://tess.elixir-europe.org/materials/basic-statistical-tests Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Statistical tests, Roslin Institute
Introduction to Experimental Design

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, January 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Experimental design, Roslin Institute

Introduction to Experimental Design https://tess.elixir-europe.org/materials/introduction-to-experimental-design Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, January 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Experimental design, Roslin Institute
Introduction to Sample Size Calculation

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, January 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. A spreadsheet...

Keywords: Sample size, Roslin Institute

Introduction to Sample Size Calculation https://tess.elixir-europe.org/materials/introduction-to-sample-size-calculation Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, January 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. A spreadsheet to carry out the calculations described in the presentation may be copied here: http://datashare.is.ed.ac.uk/handle/10283/1996 Sample size, Roslin Institute
Introduction to Statistical Modelling

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Statistical modelling, Roslin Institute

Introduction to Statistical Modelling https://tess.elixir-europe.org/materials/introduction-to-statistical-modelling Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Statistical modelling, Roslin Institute
Introduction to Mixed Models

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Mixed models, Roslin Institute

Introduction to Mixed Models https://tess.elixir-europe.org/materials/introduction-to-mixed-models Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Mixed models, Roslin Institute
Introduction to Analysing Repeated Measures Data

Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.

Keywords: Data analysis, Repeated measures, Roslin Institute

Introduction to Analysing Repeated Measures Data https://tess.elixir-europe.org/materials/introduction-to-analysing-repeated-measures-data Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. Data analysis, Repeated measures, Roslin Institute
Introduction to ChIP-Seq Using Galaxy: Analysing protein interactions with DNA

ChIP-sequencing, also known as ChIP-Seq, is a powerful technique for investigating protein interactions with DNA. This course will take you through an example ChIP-Seq analysis pipeline, following a published methodology to show how we can understand and reproduce these published results.

Scientific topics: ChIP-seq

Keywords: Roslin Institute

Introduction to ChIP-Seq Using Galaxy: Analysing protein interactions with DNA https://tess.elixir-europe.org/materials/introduction-to-chip-seq-using-galaxy-analysing-protein-interactions-with-dna ChIP-sequencing, also known as ChIP-Seq, is a powerful technique for investigating protein interactions with DNA. This course will take you through an example ChIP-Seq analysis pipeline, following a published methodology to show how we can understand and reproduce these published results. ChIP-seq Roslin Institute Any student, postdoc or RA who has an interest in bioinformatics and who intends to conduct ChIP-Seq analysis on a Galaxy platform.
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
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
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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
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 https://tess.elixir-europe.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
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 https://tess.elixir-europe.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
Gut metagenomics in cardiometabolic diseases

Cardio-metabolic and Nutrition-related diseases (CMDs) represent an enormous burden for health care. They are characterized by very heterogeneous phenotypes progressing with time. It is virtually impossible to predict who will or will not develop cardiovascular comorbidities. There is a clear...

Keywords: metagenomics

Gut metagenomics in cardiometabolic diseases https://tess.elixir-europe.org/materials/gut-metagenomics-in-cardiometabolic-diseases-339bc8b2-0c05-4f21-9aba-2ae647a5178c Cardio-metabolic and Nutrition-related diseases (CMDs) represent an enormous burden for health care. They are characterized by very heterogeneous phenotypes progressing with time. It is virtually impossible to predict who will or will not develop cardiovascular comorbidities. There is a clear need to intervene earlier in the natural cycle of the disease, before irreversible tissue damages develop. Predictive tools still remain elusive and environmental factors (food, nutrition, physical activity and psychosocial factors) play major roles in the development of these interrelated pathologies. Poor nutritional environment and lifestyle also promote health deterioration resulting in CMD progression. In the last few years, the characterization of the gut microbiome (i.e. collective bacteria genome) and gut-derived molecules (i.e. metabolites, lipids, inflammatory molecules) has opened up new avenues for the generation of fundamental knowledge regarding putative shared pathways in CMD. The gut microbiome is likely to have an even greater impact than genetic factors given its close relationship with environmental factors. In metabolic disorders, the discoveries that low bacterial gene richness associates with cardiovascular risks stimulate encourage these developments. Due to the complexity of the gut microbiome, and its interactions with human (host) metabolism as well as with the immune system, it is only through integrative analyses where metabolic network models are used as scaffold for analysis that it will be possible to identify markers and shared pathways, which will contribute to improve patient stratification and develop new modes of patient care. metagenomics 2016-12-15 2017-01-11