Training Material List
Handles creating, reading and updating training materials.
GET /api/trainingmaterial/?format=api&ordering=keywords
{ "count": 149, "next": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/?format=api&limit=20&offset=20&ordering=keywords", "previous": null, "results": [ { "id": 145, "name": "Introduction to Transcriptomics", "description": "This slidedecks presents the concepts behind transcriptomics", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/introduction/slides.html", "fileName": "transcriptomics-introduction", "topics": [ "http://edamontology.org/topic_0203", "http://edamontology.org/topic_3308", "http://edamontology.org/topic_3170" ], "keywords": [ "RNA-seq", "Transcriptomics (RNA-seq)" ], "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": "CC-BY-4.0", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api" ] }, { "id": 139, "name": "Cluster Slides - Genotoul-bioinfo", "description": "Slides for Cluster training (bioinfo genotoul facility)", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://bioinfo.genotoul.fr/wp-content/uploads/Formation_cluster_SLURM_2025.pdf", "fileName": "Formation_cluster_SLURM_2025.pdf", "topics": [], "keywords": [ "Cluster" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "providedBy": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": "CC BY-NC-SA", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ] }, { "id": 140, "name": "Cluster TP - Genotoul-bioinfo", "description": "TP for cluster training (bioinfo genotoul facility)", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://genotoul-bioinfo.pages-forge.inrae.fr/linux-cluster/", "fileName": "linux-cluster", "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "High performance computing", "Cluster" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "providedBy": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": "CC BY-NC-SA", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ] }, { "id": 37, "name": "Connecting Galaxy to a compute cluster", "description": "Problems\nRunning jobs on the Galaxy server negatively impacts Galaxy UI performance\nEven adding one other host helps\nCan restart Galaxy without interrupting jobs\nSolution:\nConnecter Galaxy to a computing cluster\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://igbmc.github.io/egdw2017/day4/admin/05-compute-cluster/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Galaxy", "Cluster" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2017-01-19", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/662/?format=api" ] }, { "id": 55, "name": "x2Go", "description": "Opening an x2go session to the IFBcloud\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/x2go_to_IFB-VM.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Cloud" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-23", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ] }, { "id": 125, "name": "ETBII 2023", "description": "All the training materials dedicated to the IFB's Integrative Bioinformatics Thematic School, which took place in January 2023.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=13", "fileName": "ETBII 2023 Training materials", "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Biological network inference and analysis", "Multivariate analyses", "Semantic web", "Data Integration" ], "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "providedBy": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ] }, { "id": 150, "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE", "description": "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.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://hal.inrae.fr/hal-03102944", "fileName": "2020-12-MIAPPE-Webinar.pdf", "topics": [ "http://edamontology.org/topic_0625" ], "keywords": [ "Données" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": "CC BY-SA 4.0", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api" ] }, { "id": 125, "name": "ETBII 2023", "description": "All the training materials dedicated to the IFB's Integrative Bioinformatics Thematic School, which took place in January 2023.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=13", "fileName": "ETBII 2023 Training materials", "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Biological network inference and analysis", "Multivariate analyses", "Semantic web", "Data Integration" ], "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "providedBy": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ] }, { "id": 125, "name": "ETBII 2023", "description": "All the training materials dedicated to the IFB's Integrative Bioinformatics Thematic School, which took place in January 2023.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=13", "fileName": "ETBII 2023 Training materials", "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Biological network inference and analysis", "Multivariate analyses", "Semantic web", "Data Integration" ], "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "providedBy": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ] }, { "id": 128, "name": "Mapping with Galaxy", "description": "This tutorial covers the questions:\r\n- What is mapping?\r\n- What two things are crucial for a correct mapping?\r\n- What is BAM?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Define what mapping is\r\n- Perform mapping of reads on a reference genome\r\n- Evaluate the mapping output", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/mapping/tutorial.html", "fileName": "mapping", "topics": [ "http://edamontology.org/topic_0102" ], "keywords": [ "Mapping" ], "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": "CC-BY-4.0", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api" ] }, { "id": 125, "name": "ETBII 2023", "description": "All the training materials dedicated to the IFB's Integrative Bioinformatics Thematic School, which took place in January 2023.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=13", "fileName": "ETBII 2023 Training materials", "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_3474", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Biological network inference and analysis", "Multivariate analyses", "Semantic web", "Data Integration" ], "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "providedBy": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ] }, { "id": 141, "name": "Sed and awk training - Genotoul-bioinfo", "description": "training material sed and awk training (genotoul bioinfo facility)", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://genoweb.toulouse.inra.fr/~klopp/SedAwk2024/Processing_large_files_with_sed_awk_2024.pdf", "fileName": "Processing_large_files_with_sed_awk_2024.pdf", "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Programming Languages & Computer Sciences" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "providedBy": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": "Creative Commons Attribution 4.0 International License", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ] }, { "id": 148, "name": "Perl One-liner - Genotoul-bioinfo", "description": "Improve your command line skills by learning a few words of Perl (08/12/2025)\r\nThe GenoToul bioinformatics platform and Sigenae organize a series of training courses to familiarize yourself with the various resources it provides. These resources are currently: the hardware infrastructure, biological data banks and widely used bioinformatics softwares. This “Perl one-liners” training session is organized by the Sigenae platform. Perl one-liners are small and awesome Perl programs that fit in a single line of code and perform many operations such as replacing of text, spacing, deleting, calculation, manipulation in files and many more. This training will allow you to discover the power of Perl on the command line and learn how to use it to automate your file manipulations and command line generation with classical file formats such as tabulated text, fastq, sam/bam, and vcf.\r\n\r\ncalendar\r\n \r\n\r\nThis training lasts one day and is focused on practice. It consists of 3 parts with a large variety of exercises:\r\n\r\nIntroduction to Perl and its characteristics: Perl is a widely used programming language for data processing and task automation. We will introduce the main characteristics of Perl and discuss why it is particularly suited for biologists who want to manipulate files and generate command lines.\r\nPerl on the command line: we will show how to use Perl on the command line to perform common tasks, such as searching and replacing strings, merging files, and loop over lists of files.\r\nConcrete examples: we will present several concrete examples drawn from biology, such as extracting information from genomic sequence files, converting files between different formats, and generating command lines for data biology tools.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://web-genobioinfo.toulouse.inrae.fr/~ccabau/Perl_One-liner.pdf", "fileName": "Perl_One-liner.pdf", "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Programming Languages & Computer Sciences" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ] }, { "id": 146, "name": "Processing large files with sed awk - Genotoul-bioinfo", "description": "This “Sed and AWK to modify large text files” training session is organized by the Genotoul bioinfo platform.\r\n\r\nThe Linux sed command is a powerful and very fast text editor without an interface. Sed can select, substitute, add, delete, and modify text in files and streams. Sed relies heavily on regular expressions for pattern matching and text selection. We’ll manipulate regexes and the sed command to modify and filter several type of file often used in bioinformatics.\r\n\r\nAWK enables to easily process columns in large text files but is also a quite powerfull programming language. This training session aims at introducing you AWK principles. You will learn about variables, operators and functions useful to manipulate very large files. \r\n\r\nFor example you can use AWK to generate your unix command lines to be launched on the cluster. AWK enables to process millions of lines in text files. The course includes short feature presentations between long hands-on sessions in which you will be able to understand the global ideas as well as details.", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://web-genobioinfo.toulouse.inrae.fr/~klopp/SedAwk2024/Processing_large_files_with_sed_awk_2024.pdf", "fileName": "Processing_large_files_with_sed_awk_2024.pdf", "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Programming Languages & Computer Sciences" ], "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Intermediate", "providedBy": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "dateCreation": null, "dateUpdate": "2024-03-01", "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ] }, { "id": 69, "name": "New perspectives on nitrite-oxidizing bacteria - linking genomes to physiology", "description": "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.\nThe 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.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_8/New_perspectives_on_nitrite_xidizing_bacteria/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-12-16", "dateUpdate": null, "licence": "CC BY-NC-ND", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/700/?format=api" ] }, { "id": 95, "name": "Exercices on Galaxy: metagenomics", "description": "Find Rapidly OTU with Galaxy Solution\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://genoweb.toulouse.inra.fr/~formation/15_FROGS/April2016/FROGS_april_2016_Pratice.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics", "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-04-01", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/716/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/215/?format=api" ] }, { "id": 96, "name": "Training on Galaxy : Metagenomics", "description": "Find Rapidly OTU with Galaxy Solution\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://genoweb.toulouse.inra.fr/~formation/15_FROGS/April2016/FROGS_april_2016_Formation.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics", "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-04-01", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/716/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/215/?format=api" ] }, { "id": 70, "name": "Revealing and analyzing microbial networks: from topology to functional behaviors", "description": "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.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_8/Revealing_and_analyzing%20microbial_networks_from_topology_to_functional_behaviors/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-12-16", "dateUpdate": null, "licence": "CC BY-NC-ND", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/701/?format=api" ] }, { "id": 72, "name": "Hidden in the permafrost", "description": "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.\n1: 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.\n2: 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. \n3: 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.\n4: 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.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_7/Hidden_in_permafrost/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-12-16", "dateUpdate": null, "licence": "CC BY-NC-ND", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/123/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/703/?format=api" ] }, { "id": 71, "name": "Holistic metagenomics in marine communities", "description": "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.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_7/Holistic_metagenomics_in_marine_communities/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-12-16", "dateUpdate": null, "licence": "CC BY-NC-ND", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/702/?format=api" ] } ] }