Training Material List
Handles creating, reading and updating training materials.
GET /api/trainingmaterial/?format=api&offset=80&ordering=-licence
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"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": "http://dputhier.github.io/EBA_2015_ChIP-Seq/tutorial/01_peak_calling/peak_calling_tutorial.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Chip-Seq", "Peak calling", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/698/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/721/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ] }, { "id": 116, "name": "Chip-seq: Functional Annotation tutorial", "description": "Global Objective\nGiven a set of ChIP-seq peaks annotate them in order to find associated genes, genomic categories and functional terms.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/tutorial/02_annotation/annotation.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Chip-Seq", "Functional Annotation", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 115, "name": "Chip-seq: Pattern Analysis tutorial", "description": "Goal\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", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/662/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/698/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/721/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ] }, { "id": 114, "name": "Chip Seq: Annotation and visualization Lesson", "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/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/698/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/720/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ] }, { "id": 113, "name": "Chip Seq: Annotation and visualization Tutorial", "description": "Global Objective\nGiven a set of ChIP-seq peaks annotate them in order to find associated genes, genomic categories and functional terms.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/tutorial/02_annotation/annotation.html", "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/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/698/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/624/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/720/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/512/?format=api" ] }, { "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": 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": 110, "name": "DNA-seq analysis: From raw reads to processed alignments", "description": "Objectives:\nMapping the DNA-seq data to the reference genome\nProcess the alignments for the variant calling\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/elodie_girard-itmo2015_mapping_preprocess.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Variant calling", "Alignment", "DNA-seq" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/256/?format=api" ] }, { "id": 63, "name": "Variant Filtering", "description": "Use cases:\nExtact a subset of variants\nCombine variants from several analysis\n\nCompare obtained variants from several data types\n\n\nIdentify new variants compare to a reference list\n\n\nApply specific filters for Chip Design\n\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/FiltrageVariantNLapaluRoscoff2015.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics", "Variant calling", "NGS" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/694/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/719/?format=api" ] }, { "id": 109, "name": "RNA-Seq: Differential Expression Analysis", "description": "\n \n\nBe careful about experimental design : avoid putting all the\nreplicates in the same lane, using the same barcode for the\nreplicates, putting different number of samples in lanes etc...\nNon- uniformity of the per base read distribution (Illumina Random\nHexamer Priming bias visible on the 13 first bases)\nBias hierarchy : biological condition >> concentration > run/flowcell> lane\nAt equivalent expression level, a long gene will have more reads than a short one.\nNon random coverage along the transcript.\nMultiple hit for some reads alignments.\n \n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA/V4-2015/RNAseq/billerey-roscoff_expr_diff_tp-vfinal.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Differential Expression", "RNA-seq", "Transcriptomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/55/?format=api" ] }, { "id": 108, "name": "RNA-Seq: isoform detection and quantification", "description": "transcriptome from new condition\ntissue-speci c transcriptome\ndifferent development stages\ntranscriptome from non model organism\ncancer cell\nRNA maturation mutant\n \nHow to manage RNA-Seq data with genes subjected to di erential\nsplicing?\nIs it possible to discover new isoforms?\nIs it possible to quantify abundance of each isoform\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/toffano-TP_RNASeq_Isoform.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Isoforms", "RNA-seq", "Transcriptomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "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": 107, "name": "Genomic copy number Analysis", "description": "No description available\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/CNV_ROSCOFF_2015_BJ_20150930.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Structural genomics", "Copy number" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": "2015-09-10", "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/318/?format=api" ] }, { "id": 106, "name": "Genomic copy number Tutorial", "description": "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).\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/CNV_TD_guidelines_BJ.pdf", "fileName": "missing.txt", "topics": [], "keywords": [ "Structural genomics", "Copy number" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 89, "name": "Docker Tutorial", "description": "Docker is free software that automates the deployment of applications in software containers executant in isolation. A Docker container, away from traditional virtual machines, requires no separate operating system and not providing any but relies instead on the core functionality and uses the isolation of resources and namespaces separated to isolate the operating system as seen by the application.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://bioserv.rpbs.univ-paris-diderot.fr/tutorials.html", "fileName": "missing.txt", "topics": [], "keywords": [ "Docker" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/523/?format=api" ] }, { "id": 90, "name": "A Simple Phylogenetic Tree Construction (part 2)", "description": "Understand the method used in identifying an unknown sequence.\nUnderstand the limitations of this method\nGet to grips with various software (CLUSTALw, SeaView, Phylo_win and Njplot)\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.prabi.fr/spip.php?article60", "fileName": "missing.txt", "topics": [], "keywords": [ "Phylogenetics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 91, "name": "A Simple Phylogenetic Tree Construction (part 1)", "description": "Understand the method behind constructing a phylogenetic tree from the search for sequences to the analysis of the tree.\nGet to grips with various bio-informatic software (BLAST, CLUSTALw, SeaView and Phylo_win).\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.prabi.fr/spip.php?article59", "fileName": "missing.txt", "topics": [], "keywords": [ "Phylogenetics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "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/?format=api" } ], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [] }, { "id": 93, "name": "Cross Taxa Tutorial", "description": "How query databases according to complex taxonomic critera\nCross-Taxa allows to retrieve gene families that are shared by a given set of taxa, or which are specific to a set of taxa. It is also possible to select genes families which are associated to a certain set of taxa but which are not found in a second set of taxa. Any taxonomic level can be used.\n", "communities": [], "elixirPlatforms": [], "doi": null, "fileLocation": "http://www.prabi.fr/spip.php?article41", "fileName": "missing.txt", "topics": [], "keywords": [ "genomics" ], "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "providedBy": [], "dateCreation": null, "dateUpdate": null, "licence": null, "maintainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/715/?format=api" ] }, { "id": 94, "name": "Searching for sequence: Tutorial", "description": "Quick Search is dedicated to a quick search for sequences or sequence families in the databases available on the PBIL server. It is an alternative to WWW Query which allows more complex queries. Quick Search allows you to retrieve sequences or sequence families associated to a single word without specifying what is this word. 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/?format=api" ] } ] }