Training Material List
Handles creating, reading and updating training materials.
GET /api/trainingmaterial/?offset=140&ordering=keywords
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You can enter indifferently a keyword, a sequence name or accession number, or a taxa name.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.prabi.fr/spip.php?article17", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Pattern recognition" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/715/" ] }, { "id": 92, "name": "HOVERGEN tutorial", "description": "HOVERGEN is a database containing homologous vertebrate protein and nucleotide sequences. It allows to easily select similar gene sequences from a wide range of vertebrates. Hence it becomes particularly useful in comparative genomics, phylogeny and evolutionary studies on a molecular level. HOVERGEN Clean contains only complete sequences which reattach to their family. Hence its library is smaller, but more reliable.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.prabi.fr/spip.php?article58", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "proteomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 101, "name": "REPET: TEdenovo tutorial", "description": "The TEdenovo pipeline follows a philosophy in three first steps:\nDetection of repeated sequences (potential TE)\nClustering of these sequences\nGeneration of consensus sequences for each cluster, representing the ancestral TE\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://urgi.versailles.inra.fr/Tools/REPET/TEdenovo-tuto", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Annotation" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": "CeCILL", "maintainers": [] }, { "id": 100, "name": "REPET: TEdannot Tutorial", "description": "TEannot is able to annote a genome using DNA sequences library. This library can be a predicted TE library built by TEdenovo\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://urgi.versailles.inra.fr/Tools/REPET/TEannot-tuto", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Annotation" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": "CeCILL", "maintainers": [] }, { "id": 99, "name": " PASTEClassifier Tutorial", "description": "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 )\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://urgi.versailles.inra.fr/Tools/PASTEClassifier/PASTEClassifier-tuto", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Transposons" ], "audienceTypes": [], "audienceRoles": 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"https://www.france-bioinformatique.fr/sites/default/files/G06_TP_IGV_2016.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2017-01-09", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/256/" ] }, { "id": 65, "name": "Chip-seq Analysis", "description": "Quality, normalisation and peak calling\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/C01_ChIP_SEQ_EBA_2016-11-22.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Chip-Seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-22", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/695/", 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analysis", "description": "Transcriptome analysis provides information about the identity and quantity of all RNA molecules\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/R01_EBA206_RNAseq_ref.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "RNA-seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-22", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/371/" ] }, { "id": 61, "name": "Differential gene expression analysis : Practical part", "description": "RNA-seq: Differential gene expression analysis practical session\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/R01b_EBA2016_TP_RNA-seq.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", 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"description": "How to add biological meaning to peaks\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/slides/ChIP-seq_annotation_MD_2015.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Chip-Seq", "Data visualization", "Annotation", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/662/", "https://catalogue.france-bioinformatique.fr/api/userprofile/698/", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/", "https://catalogue.france-bioinformatique.fr/api/userprofile/720/", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/" ] }, { "id": 65, "name": "Chip-seq Analysis", "description": "Quality, normalisation and peak calling\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/C01_ChIP_SEQ_EBA_2016-11-22.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Chip-Seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2016-11-22", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/695/", "https://catalogue.france-bioinformatique.fr/api/userprofile/696/", "https://catalogue.france-bioinformatique.fr/api/userprofile/697/", "https://catalogue.france-bioinformatique.fr/api/userprofile/698/", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/" ] }, { "id": 112, "name": "Chip-seq: Motif Analysis Tutorial", "description": "Introduction\nGoal\nThe aim is to :\nGet familiar with motif analysis of ChIP-seq data.\nLearn de novo motif discovery methods.\nIn practice :\nMotif discovery with peak-motifs\nDifferential analysis\nRandom controls\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/tutorial/04_motif/motif_tutorial.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Chip-Seq", "Pattern recognition", "Motif analysis", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 117, "name": "Chip-seq: Peak calling tutorial", "description": "The aim is to :\nUnderstand how to process reads to obtain peaks (peak-calling).\nBecome familiar with differential analysis of peaks\nIn practice :\nObtain dataset from GEO\nAnalyze mapped reads\nObtain set(s) of peaks, handle replicates\nDifferential analysis of peak\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": 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