BEGIN:VCALENDAR VERSION:2.0 PRODID:+//IDN sfbi.fr//NONSGML EVENTS//FR CALSCALE:GREGORIAN BEGIN:VEVENT UID:chip-seq-rna-seq-and-hi-c-treatment-analysis-and-data-visualization@sfbi.fr DTSTAMP:20260430T114540Z DTSTART;TZID=Europe/Paris:20260601T084500 DTEND;TZID=Europe/Paris:20260605T123000 DESCRIPTION:Day 1: ChIP-seq and RNA-seq data pre-processing Initiation to Linux command lines (3 h) Basic notions of ChIP-seq, RNA-seq and Hi-C and their analysis pipeline, principle of spike-in normalization Pre-treatment of data (quality of raw data, alignments, sequencing artifacts) Exploration of aligned data (fragments size estimation, alignment quality) Days 2 and 3: ChIP-seq analysis Generation of signal files (.wig) using the R-PASHA package Visualization of .wig files and isolation of enriched regions adapting detection parameters (MACS2 or using a genome browser option) Initiation to meta-profiling around regions of interest (genes, TSS, TES, enhancers) Enrichment of functional annotations (gene ontology) Motif search in enriched regions External spike-in normalization Day 4: RNA-seq analysis Quantification of gene expression in RNA-seq data (RPKM) Spike-in normalization principle Differential gene expression analysis for transcripts and exons Day 5: Hi-C analysis Quality controls, alignment and filtering of Hi-C data Generation of a chromosomal interaction map Visualization and interpretation of the interaction matrix Identification of subnuclear compartments Identification of Topologically Associating Domains (TADs) and loops Presentation of few databases and visualization tools for Hi-C Discussion (1 h) around participants questions and own problematics Objectifs de la formation Learn how to plan a simple experiment of ChIP-seq or RNA-seq Acquire the skills to evaluate data quality for transcriptome and gene regulation experiments Understand and apply the principal methods and analysis tools for RNA-seq and ChIP-seq Be able to visualize data in a genome browser and extract enriched regions Learn how to manipulate and annotate enriched regions files using bedtools Become acquainted with the principal methods of analysis for long-distance genomic interactions (Hi-C) and generate chromosomal interaction maps Public visé Engineers and researchers in biology Prérequis Knowledge of basic command lines under Linux can be useful but not mandatory. A recall of basic knowledge will be proposed. Modalités pédagogiques Lectures (5h) and practical courses (27h) supervised by 1 teacher for 4 attendees. Moyens et supports pédagogiques Paper support, files in PDF format and a Linux virtual machine will be made available to the trainee. Modalités d'évaluation et de suivi Ongoing formative assessments throughout the course. A certificate of cmpletion is issued at the end of the training Informations sur l'admission Admission to this training programme is not subject to any examination, test or prior selection; registration is confirmed upon receipt of a complete application file and validation by the training provider. Modalités tarifaires spécifiques All our training courses are VAT exempt. Enjoy exclusive volume discounts: save 5% when registering 3-4 participants, 10% for 5-6, and 20% for groups of 7 or more. CNRS employees benefit from a special 20% discount. Informations sur l'accessibilité Our organisation is committed to ensuring inclusive and equitable access to its training programmes, whether delivered online or in person, for all participants, including people with disabilities. A dedicated accessibility contact is available to assess individual needs and, where possible, implement appropriate pedagogical, technical and organisational adjustments https://cnrsformation.cnrs.fr/catalogue/formation/42/chip-seq-rna-seq-and-hi-c-treatment-analysis-and-data-visualization/328/ SUMMARY:ChIP-seq, RNA-seq and Hi-C: treatment, analysis and data visualization URL:https://www.sfbi.fr/evenements/voir/chip-seq-rna-seq-and-hi-c-treatment-analysis-and-data-visualization END:VEVENT END:VCALENDAR