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IFB French Institute of Bioinformatics

The French Institute of Bioinformatics (CNRS IFB) is a national service infrastructure in bioinformatics. IFB’s principal mission is to provide basic services and resources in bioinformatics for scientists and engineers working in the life sciences. IFB is the French node of the European research infrastructure, ELIXIR.

IFB French Institute of Bioinformatics https://tess.elixir-europe.org/content_providers/ifb-french-institute-of-bioinformatics The French Institute of Bioinformatics (CNRS IFB) is a national service infrastructure in bioinformatics. IFB’s principal mission is to provide basic services and resources in bioinformatics for scientists and engineers working in the life sciences. IFB is the French node of the European research infrastructure, ELIXIR. /system/content_providers/images/000/000/049/original/ifb-logo_1.png?1469458221
Showing 30 materials out of 97. View all results.
A Simple Phylogenetic Tree Construction (part 1)

Understand the method behind constructing a phylogenetic tree from the search for sequences to the analysis of the tree. Get to grips with various bio-informatic software (BLAST, CLUSTALw, SeaView and Phylo_win). Understand the method behind constructing a phylogenetic tree from the search...

Keywords: Phylogenetics

A Simple Phylogenetic Tree Construction (part 1) https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-1 Understand the method behind constructing a phylogenetic tree from the search for sequences to the analysis of the tree. Get to grips with various bio-informatic software (BLAST, CLUSTALw, SeaView and Phylo_win). Understand the method behind constructing a phylogenetic tree from the search for sequences to the analysis of the tree. Get to grips with various bio-informatic software (BLAST, CLUSTALw, SeaView and Phylo_win). Phylogenetics
Docker for Beginners

What is Docker? Building an image BioShadock Orchestration What is Docker? Building an image BioShadock Orchestration

Keywords: Docker

Docker for Beginners https://tess.elixir-europe.org/materials/docker-for-beginners What is Docker? Building an image BioShadock Orchestration What is Docker? Building an image BioShadock Orchestration Docker
Visualization of NGS data with IGV

Visualisation of next-gen sequencing data with Integrative Genomics Viewer Visualisation of next-gen sequencing data with Integrative Genomics Viewer

Keywords: Data visualization, Genomics, NGS

Visualization of NGS data with IGV https://tess.elixir-europe.org/materials/visualization-of-ngs-data-with-igv Visualisation of next-gen sequencing data with Integrative Genomics Viewer Visualisation of next-gen sequencing data with Integrative Genomics Viewer Data visualization, Genomics, NGS
Analysis of community composition data using phyloseq

Learn about and become familiar with phyloseq R package for the analysis of microbial census data Learn about and become familiar with phyloseq R package for the analysis of microbial census data

Keywords: Microbiomes, R

Analysis of community composition data using phyloseq https://tess.elixir-europe.org/materials/analysis-of-community-composition-data-using-phyloseq Learn about and become familiar with phyloseq R package for the analysis of microbial census data Learn about and become familiar with phyloseq R package for the analysis of microbial census data Microbiomes, R
Variant Filtering

Some use cases : - Extract a subset of variants (localization, type) - Combine variants from several analyses - Compare obtained variants from several data types (RNA ...

Keywords: Genomics

Variant Filtering https://tess.elixir-europe.org/materials/variant-filtering Some use cases : - Extract a subset of variants (localization, type) - Combine variants from several analyses - Compare obtained variants from several data types (RNA ... Genomics
PASTEClassifier Tutorial

The PASTEClassifier (Pseudo Agent System for Transposable Elements Classification) is a transposable element (TE) classifier searching for structural features and similarity to classify TEs ( Hoede C. et al. 2014 ) The PASTEClassifier (Pseudo Agent System for Transposable Elements...

Keywords: Genomics, Transposons

PASTEClassifier Tutorial https://tess.elixir-europe.org/materials/pasteclassifier-tutorial The PASTEClassifier (Pseudo Agent System for Transposable Elements Classification) is a transposable element (TE) classifier searching for structural features and similarity to classify TEs ( Hoede C. et al. 2014 ) The PASTEClassifier (Pseudo Agent System for Transposable Elements Classification) is a transposable element (TE) classifier searching for structural features and similarity to classify TEs ( Hoede C. et al. 2014 ) Genomics, Transposons
Variants: alignment and pre-treatment; GATK

Variant calling practical session

Keywords: Genomics

Variants: alignment and pre-treatment; GATK https://tess.elixir-europe.org/materials/variants-alignment-and-pre-treatment-gatk Variant calling practical session Genomics
Galaxy Installation

How to install a local instance of Galaxy 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 How to install a local instance of Galaxy Galaxy
RADSeq Data Analysis

Introduction to RADSeq through STACKS on Galaxy Introduction to RADSeq through STACKS on Galaxy

Keywords: NGS

RADSeq Data Analysis https://tess.elixir-europe.org/materials/radseq-data-analysis Introduction to RADSeq through STACKS on Galaxy Introduction to RADSeq through STACKS on Galaxy NGS
Exercices on Galaxy: metagenomics

Find Rapidly OTU with Galaxy Solution 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 Find Rapidly OTU with Galaxy Solution Galaxy, Metagenomics
Snakemake tutorial: Gene regulation

Workflow 1: Rules and targets Workflow 2: Introducing wildcards Workflow 3: Keywords Workflow 4: Combining rules Workflow 5: Configuration file Workflow 6: Separated files Workflow 1: Rules and targetsWorkflow 2: Introducing wildcardsWorkflow 3: KeywordsWorkflow 4: Combining rulesWorkflow...

Keywords: Gene regulation, Snakemake

Snakemake tutorial: Gene regulation https://tess.elixir-europe.org/materials/snakemake-tutorial-gene-regulation-60b23a0f-6878-48bf-8ef0-f4e283f7ec03 Workflow 1: Rules and targets Workflow 2: Introducing wildcards Workflow 3: Keywords Workflow 4: Combining rules Workflow 5: Configuration file Workflow 6: Separated files Workflow 1: Rules and targetsWorkflow 2: Introducing wildcardsWorkflow 3: KeywordsWorkflow 4: Combining rulesWorkflow 5: Configuration fileWorkflow 6: Separated files Gene regulation, Snakemake
Variants: alignment and pre-treatment; GATK

DNA-seq Bioinformatics Analysis: from raw sequences to processed alignments DNA-seq Bioinformatics Analysis: from raw sequences to processed alignments

Keywords: DNA-seq, Genomics

Variants: alignment and pre-treatment; GATK https://tess.elixir-europe.org/materials/variants-alignment-and-pre-treatment-gatk-d2d0443e-60d2-48f0-bbec-53b94eb5b003 DNA-seq Bioinformatics Analysis: from raw sequences to processed alignments DNA-seq Bioinformatics Analysis: from raw sequences to processed alignments DNA-seq, Genomics
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. 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
Third generation sequencing : the revolution of long reads

Introduction on sequencing: available technologies, library types, applications ... Introduction on sequencing: available technologies, library types, applications ...

Keywords: Genomics

Third generation sequencing : the revolution of long reads https://tess.elixir-europe.org/materials/third-generation-sequencing-the-revolution-of-long-reads Introduction on sequencing: available technologies, library types, applications ... Introduction on sequencing: available technologies, library types, applications ... Genomics
Genomic copy number Analysis

No description available No description available

Keywords: Copy number, Structural genomics

Genomic copy number Analysis https://tess.elixir-europe.org/materials/genomic-copy-number-analysis No description available No description available Copy number, Structural genomics
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. 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
Galaxy Visualisation - Slides

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

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

Not available Not available

Keywords: Transcriptomics

Transcriptome de novo assembly https://tess.elixir-europe.org/materials/transcriptome-de-novo-assembly Not available Not available Transcriptomics
Galaxy Docker Training Tutorial

Galaxy docker integration Enable Galaxy to use BioContainers (Docker) Galaxy with Docker swarm 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 Galaxy docker integration Enable Galaxy to use BioContainers (Docker) Galaxy with Docker swarm Docker, Galaxy
Isoform discovery and quanti cation from RNA-Seq data

Not available Not available

Keywords: RNA-seq

Isoform discovery and quanti cation from RNA-Seq data https://tess.elixir-europe.org/materials/isoform-discovery-and-quanti-cation-from-rna-seq-data Not available Not available RNA-seq
NGS data exploration with the MicroScope Platform

Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools

Keywords: Genomics, NGS, RNA-seq, SNP, Transcriptomics

NGS data exploration with the MicroScope Platform https://tess.elixir-europe.org/materials/ngs-data-exploration-with-the-microscope-platform Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools Exploring data annotation on the genomics and transcriptomics levels with the MicroScope Platform and its tools Genomics, NGS, RNA-seq, SNP, Transcriptomics
REPET: TEdannot Tutorial

TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo

Keywords: Annotation, Genomics

REPET: TEdannot Tutorial https://tess.elixir-europe.org/materials/repet-tedannot-tutorial TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo Annotation, Genomics
Hidden in the permafrost

The last decade witnessed the discovery of four families of giant viruses infecting Acanthamoeba. They have genome encoding from 500 to 2000 genes, a large fraction of which encoding proteins of unknown origin. These unique proteins meant to recognize and manipulate the same building blocks as...

Keywords: metagenomics

Hidden in the permafrost https://tess.elixir-europe.org/materials/hidden-in-the-permafrost-c83267ed-68a6-4f10-b584-9f9eaae52009 The last decade witnessed the discovery of four families of giant viruses infecting Acanthamoeba. They have genome encoding from 500 to 2000 genes, a large fraction of which encoding proteins of unknown origin. These unique proteins meant to recognize and manipulate the same building blocks as cells raise the question on their origin as well as the role viruses played in the cellular word evolution. The Mimiviridae and the Pandoraviridae are increasingly populated by members from very diverse habitats and are ubiquitous on the planet. After prospecting the space, we went back in the past and isolated two other giant virus families from a 30,000 years old permafrost sample, Pithovirus and Mollivirus sibericum. A metagenomics study of the sample was performed to inventory its biodiversity and assess to what extend the host and the viruses were dominant. I will describe the two sequencing approaches which have been used and compare the results. 1: Raoult D, Audic S, Robert C, Abergel C, Renesto P, Ogata H, La Scola B, Suzan M, Claverie JM. The 1.2-megabase genome sequence of Mimivirus. Science. 2004 Nov 19;306(5700):1344-50. 2: Philippe N, Legendre M, Doutre G, Couté Y, Poirot O, Lescot M, Arslan D, Seltzer V, Bertaux L, Bruley C, Garin J, Claverie JM, Abergel C. Pandoraviruses:amoeba viruses with genomes up to 2.5 Mb reaching that of parasitic eukaryotes. Science. 2013 Jul 19;341(6143):281-6. 3: Legendre M, Bartoli J, Shmakova L, Jeudy S, Labadie K, Adrait A, Lescot M, Poirot O, Bertaux L, Bruley C, Couté Y, Rivkina E, Abergel C, Claverie JM. Thirty-thousand-year-old distant relative of giant icosahedral DNA viruses with a pandoravirus morphology. Proc Natl Acad Sci U S A. 2014 Mar 18;111(11):4274-9. 4: Legendre M, Lartigue A, Bertaux L, Jeudy S, Bartoli J, Lescot M, Alempic JM, Ramus C, Bruley C, Labadie K, Shmakova L, Rivkina E, Couté Y, Abergel C, Claverie JM. In-depth study of Mollivirus sibericum, a new 30,000-y-old giant virus infecting Acanthamoeba. Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5327-35. The last decade witnessed the discovery of four families of giant viruses infecting Acanthamoeba. They have genome encoding from 500 to 2000 genes, a large fraction of which encoding proteins of unknown origin. These unique proteins meant to recognize and manipulate the same building blocks as cells raise the question on their origin as well as the role viruses played in the cellular word evolution. The Mimiviridae and the Pandoraviridae are increasingly populated by members from very diverse habitats and are ubiquitous on the planet. After prospecting the space, we went back in the past and isolated two other giant virus families from a 30,000 years old permafrost sample, Pithovirus and Mollivirus sibericum. A metagenomics study of the sample was performed to inventory its biodiversity and assess to what extend the host and the viruses were dominant. I will describe the two sequencing approaches which have been used and compare the results.1: Raoult D, Audic S, Robert C, Abergel C, Renesto P, Ogata H, La Scola B, Suzan M, Claverie JM. The 1.2-megabase genome sequence of Mimivirus. Science. 2004 Nov 19;306(5700):1344-50. 2: Philippe N, Legendre M, Doutre G, Couté Y, Poirot O, Lescot M, Arslan D, Seltzer V, Bertaux L, Bruley C, Garin J, Claverie JM, Abergel C. Pandoraviruses:amoeba viruses with genomes up to 2.5 Mb reaching that of parasitic eukaryotes. Science. 2013 Jul 19;341(6143):281-6. 3: Legendre M, Bartoli J, Shmakova L, Jeudy S, Labadie K, Adrait A, Lescot M, Poirot O, Bertaux L, Bruley C, Couté Y, Rivkina E, Abergel C, Claverie JM. Thirty-thousand-year-old distant relative of giant icosahedral DNA viruses with a pandoravirus morphology. Proc Natl Acad Sci U S A. 2014 Mar 18;111(11):4274-9. 4: Legendre M, Lartigue A, Bertaux L, Jeudy S, Bartoli J, Lescot M, Alempic JM, Ramus C, Bruley C, Labadie K, Shmakova L, Rivkina E, Couté Y, Abergel C, Claverie JM. In-depth study of Mollivirus sibericum, a new 30,000-y-old giant virus infecting Acanthamoeba. Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5327-35. metagenomics 2016-12-16 2017-01-11
Fast filtering, mapping and assembly of 16S ribosomal RNA

The application of next-generation sequencing technologies to RNA orDNA directly extracted from a community of organisms yields a mixtureof nucleotide fragments. The task to distinguish amongst these and tofurther categorize the families of ribosomal RNAs (or any other givenmarker) is an...

Keywords: metagenomics

Fast filtering, mapping and assembly of 16S ribosomal RNA https://tess.elixir-europe.org/materials/fast-filtering-mapping-and-assembly-of-16s-ribosomal-rna-83398e0f-76de-4945-b0a8-8274413a6a47 The application of next-generation sequencing technologies to RNA orDNA directly extracted from a community of organisms yields a mixtureof nucleotide fragments. The task to distinguish amongst these and tofurther categorize the families of ribosomal RNAs (or any other givenmarker) is an important step for examining the phylogeneticclassification of the constituting species. In thisperspective, we have developed a complete bioinformatics suite, called MATAM, capable of handling large sets of reads in a fast and accurate way. MATAM covers all steps of the analysis, from the identificationof reads of interest in the raw sequencing data to the reconstructionof the full-length sequences of the marker and alignment to areference database for taxonomic assignment. Part of MATAM is basedon the SortMeRNA software, also developed by the team. The application of next-generation sequencing technologies to RNA orDNA directly extracted from a community of organisms yields a mixtureof nucleotide fragments. The task to distinguish amongst these and tofurther categorize the families of ribosomal RNAs (or any other givenmarker) is an important step for examining the phylogeneticclassification of the constituting species. In thisperspective, we have developed a complete bioinformatics suite, called MATAM, capable of handling large sets of reads in a fast and accurate way. MATAM covers all steps of the analysis, from the identificationof reads of interest in the raw sequencing data to the reconstructionof the full-length sequences of the marker and alignment to areference database for taxonomic assignment. Part of MATAM is basedon the SortMeRNA software, also developed by the team. metagenomics 2016-12-16 2017-01-11
Chip-seq Analysis

Quality, normalisation and peak calling Quality, normalisation and peak calling

Keywords: Chip-seq, Genomics

Chip-seq Analysis https://tess.elixir-europe.org/materials/chip-seq-analysis Quality, normalisation and peak calling Quality, normalisation and peak calling Chip-seq, Genomics
Differential gene expression analysis : Practical part

RNA-seq: Differential gene expression analysis practical session RNA-seq: Differential gene expression analysis practical session

Keywords: Genomics, RNA-seq

Differential gene expression analysis : Practical part https://tess.elixir-europe.org/materials/differential-gene-expression-analysis-practical-part RNA-seq: Differential gene expression analysis practical session RNA-seq: Differential gene expression analysis practical session Genomics, RNA-seq
Galaxy: Initiation II

Galaxy II: common tools, quality control; alignment; data managment Galaxy II: common tools, quality control; alignment; data managment

Keywords: Genomics

Galaxy: Initiation II https://tess.elixir-europe.org/materials/galaxy-initiation-ii Galaxy II: common tools, quality control; alignment; data managment Galaxy II: common tools, quality control; alignment; data managment Genomics
Genomic copy number Tutorial

We will analyze the copy number variations of a human tumor (parotid gland carcinoma), limited to the chr17, from a WES (whole-exome sequencing) experiment. All genomic coordinates correspond to the 2009 build of the reference human genome (hg19 / GRC37). We will analyze the copy number...

Keywords: Copy number, Structural genomics

Genomic copy number Tutorial https://tess.elixir-europe.org/materials/genomic-copy-number-tutorial We will analyze the copy number variations of a human tumor (parotid gland carcinoma), limited to the chr17, from a WES (whole-exome sequencing) experiment. All genomic coordinates correspond to the 2009 build of the reference human genome (hg19 / GRC37). We will analyze the copy number variations of a human tumor (parotid gland carcinoma), limited to the chr17, from a WES (whole-exome sequencing) experiment. All genomic coordinates correspond to the 2009 build of the reference human genome (hg19 / GRC37). Copy number, Structural genomics
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. 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
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 Problems Running jobs on the Galaxy server negatively impacts Galaxy UI...

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 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
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  • 7ème école de bioinformatique AVIESAN-IFB

    25 - 30 November 2018

    Elixir node event
    7ème école de bioinformatique AVIESAN-IFB https://tess.elixir-europe.org/events/7eme-ecole-de-bioinformatique-aviesan-ifb Initiation au traitement des données de génomique obtenues par séquençage à haut débit 2018-11-25 09:00:00 UTC 2018-11-30 00:00:00 UTC Roscoff Roscoff [] [] [] [] [] []
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