Training Material List
Handles creating, reading and updating training materials.
GET /api/trainingmaterial/?format=api&offset=100&ordering=providedBy
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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": [], "keywords": [], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ] }, { "id": 36, "name": "Galaxy Administration", "description": "How to use the administation panel of Galaxy\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://igbmc.github.io/egdw2017/day4/admin/06-admin/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2017-01-19", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/662/?format=api" ] }, { "id": 4, "name": "Support tools for rapid adoption of compact identifiers in the publishing process", "description": "\n \n\nSupport tools for rapid adoption of compact identifiers in the publishing process\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/support-tools_78a0/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "biohackaton 2018" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2019-03-21", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/668/?format=api" ] }, { "id": 53, "name": "RNA - Seq de novo", "description": "\n \n\nPractical session on transciptome de novo assembly\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/A01b_Galaxy_RNASeq_denovo_ITMO2016_TP_v2red.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "RNA-seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-23", "dateUpdate": null, "licence": "CC BY-NC-SA", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/134/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/388/?format=api" ] }, { "id": 23, "name": "Building a semantic search engine for biology publications using event stream processing", "description": "\n \n\nBuilding a semantic search engine for biology publications using event stream processing\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/c-sparql-powered_d842/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "biohackaton 2018" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2019-03-21", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/683/?format=api" ] }, { "id": 44, "name": "Galaxy Visualisation - Tutorial", "description": "Visualizations may be very helpful in understanding data better. There is a whole range of visualizations, from rather simple scatter and barplots up to projections of high dimensional data or even entire genomes. Many of these visualizations often require a lot of tweaking and changes in settings like zooming in and assigning colors, etc. Therefore, visualizations are ideally interactive, and changing settings is often an initial step in exploring data. For this reason it may be inconvenient to make use of static galaxy tools because it lacks these interactive features. For these situations Galaxy offers the option to create visualizations plugins, file format specific javascripts that integrate with the history menu, without making redundant copies of data.\nIn this tutorial we shall go through how this system works and create a simple visualization plugin. The tool will create a visualization of the number of aligned reads per chromosome of a BAM file, and we will discuss possible optimizations and advantages and disadvantages of the proposed implementation.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/tutorials/visualizations", "fileName": "missing.txt", "topics": [], "keywords": [ "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2017-01-18", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/690/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/691/?format=api" ] }, { "id": 58, "name": "Isoform discovery and quanti cation from RNA-Seq data", "description": "Not available\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/R04_EBA2016_RNAseq_Isoforms.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "RNA-seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-23", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/159/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/605/?format=api" ] }, { "id": 1, "name": "SG-ONT-slides", "description": "Slides used for the training \"\t\r\nIntroduction to Oxford Nanopore Technology data analyses\"", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://southgreenplatform.github.io/trainings//files/ont_2021.pdf", "fileName": "ont_2021.pdf", "topics": [], "keywords": [], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2022-01-24", "dateUpdate": "2022-01-24", "licence": "Creative Commons Attribution 4.0 International License", "maintainers": [] }, { "id": 111, "name": "Chip-seq: Discovering motifs in peaks with RSAT", "description": "Read mapping: from raw reads to aligned reads.\nPeak calling: from aligned reads to regions/peaks of high read density.\nChIP-seq annotation\nIdentification of genes related to the peaks.\nProfiles of ChIP-seq reads around reference points (TSS, histone marks,).\nFunctional enrichment of the genes related to the peaks.\n\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/ChIP-seq_motifs_EBA2015_JvH.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Motif analysis", "Chip Seq", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api" ] }, { "id": 86, "name": "Gut metagenomics in cardiometabolic diseases", "description": "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.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_2/Gut_metagenomics_in_cardiometabolic_diseases/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Metagenomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-12-15", "dateUpdate": null, "licence": "CC BY-NC-ND", "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/712/?format=api" ] }, { "id": 49, "name": "Development in Galaxy", "description": "Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Here, you will find some materials to learn how to contribute to Galaxy project.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://github.com/galaxyproject/training-material/tree/master/Dev-Corner", "fileName": "missing.txt", "topics": [], "keywords": [ "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/77/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/689/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api" ] }, { "id": 22, "name": "CWL support in Galaxy", "description": "\n \n\nCWL support in Galaxy\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/cwl-support-in-galaxy_f872/scormcontent/index.html", "fileName": "missing.txt", "topics": [], "keywords": [ "biohackaton 2018" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2019-03-21", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/432/?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": 45, "name": "Galaxy Visualisation - Slides", "description": "Questions\n\n\n\tHow can visualization plugins benefit science?\n\n\n\nObjectives\n\n\n\tImplement a first Galaxy visualization\n\tUnderstand the client side vs. server side principle\n\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/visualizations.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Galaxy" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2017-01-18", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/690/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/691/?format=api" ] }, { "id": 60, "name": "Differential analysis of RNA-Seq data", "description": "Design, describe, explore and model\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/R02-R03_slidesRoscoff_stats_HVaret.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "RNA-seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-23", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/371/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/626/?format=api" ] }, { "id": 105, "name": "Exploring Microscope Platform", "description": "\n \n\nHow to use the Microscope Platform to annotate and analyze microbial genomes.\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/Cours_MicroScope_mars2016_1-17.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Annotation", "Sequence analysis", "Transcriptomics", "Microbial evolution", "Metabolomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-03-01", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/718/?format=api" ] } ] }