{"id":997,"date":"2025-09-15T01:08:14","date_gmt":"2025-09-14T23:08:14","guid":{"rendered":"http:\/\/insilico-analysis.com\/?page_id=997"},"modified":"2026-01-20T13:06:00","modified_gmt":"2026-01-20T12:06:00","slug":"training","status":"publish","type":"page","link":"https:\/\/insilico-analysis.com\/index.php\/training\/","title":{"rendered":"Training"},"content":{"rendered":"
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SEQUENCAGE NGS ET ANALYSE DES DONN\u00c9ES***<\/h5>\n <\/div>\n <\/div>\n
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D\u00e9crire les principes fondamentaux du sequence NGS\n
Expliquer le processus de preparation des echantillons pour le sequancage NGS\n
Analyser et selectionner les donn\u00e9es\n
Evaluer les differentes ethodes de sequencage NGS\n
Presenter les resultas NGS<\/p>\n

All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity<\/p>\n

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***Single Cell RNA-Seq***<\/h5>\n <\/div>\n <\/div>\n
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Comprendre les bases theoriques de la transcriptomique a cellule unique\n
Acquerir des competences pratidues pour l’analse des donn\u00e9es single cell RNA-seq\n
Maitriser les differentes etapes de l’analyse des donn\u00e9es\n
Interpreter les resultats biologiques\n
Identifier et comprendre les defis ainsi que les limites de la technologie\n
Aide au pretraitement des donn\u00e9es\n
filtrage de qualite\n
Normalisation et reduction de la dimensionnalit\u00e9\n
clustering\n
Annotation des cellules \n
Analyse differentielle \n
Integration des jeux de donn\u00e9es \n
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All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity\n
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**Langage R pour les Biologistes**<\/h5>\n <\/div>\n <\/div>\n
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Introduction au langage R et R studio\n
Base de la programmation en R\n
Importation et manipulation des donnes biologiques\n
Creation et recodage de variables \n
Visualisation des doon\u00e9es et generation de graphiques \n
R\u00e9duction de la dimensionnalit\u00e9 des donn\u00e9es \n
Cr\u00e9ation de simples fonctions et introduction aux boucles \n
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All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity<\/h1>\n

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Micro RNAs<\/h5>\n <\/div>\n <\/div>\n
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Approches bioinformatique et experimentales\n
Analse integr\u00e9 des micro RNA\n
Predictions in silico et validation experimentale\n
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All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity<\/h1>\n

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Analyse des dosages et des essais biologiques<\/h5>\n <\/div>\n <\/div>\n
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Rappels de statistiques (type de variables, distributions, parametres…) et introduction \u00e0 SPSS (manipulation des donn\u00e9es: selection, transformation, statistique descriptives, graphiques..\n
Specificit\u00e9 des donn\u00e9es des bio-essais: l’objectif et la structure des bio-essais, types de bio-essais la relation dose-r\u00e9ponse, condition de similarit\u00e9…\n
Les principes g\u00e9n\u00e9raux de la planification des bio-essais: randomisation, en bloc, essais en lignes paralleles..\n
Methodes d’analyse des donn\u00e9es des bio-essais: Test de student, analyse de la variance, modeles de r\u00e9gression pour les bio-essais (avec SPSS)\n
Les bio-essais en lignes paralleles et a rapport de penstes: principes et analyse\n
Estimation des param\u00e8tres specifiques au bio-essais: concentrations efficaces et l\u00e9tales, efficacit\u00e9 relative…\n
Validit\u00e9 des essais biologiques: les test de validit\u00e9, la robustess, le traitement des “outliers”\n
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All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity<\/h1>\n

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Analyse statistique des donn\u00e9es avec le langage R (niveau 1)<\/h5>\n <\/div>\n <\/div>\n
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Introduction au langage R: manipulation et visualisation des donn\u00e9es\n
Planification des etudes observationnelle et experimentale : calcul de puissance et taille d’echantillon avec R (pacge pwr)\n
Utilisation du langage R pour l’analyse bivari\u00e9s des donn\u00e9es test de student, test chi-deu, correlation, analyse de la varaince \u00e0 un facteur , regression simple (lineaire et non lineaire).\n
Utilisation du langage R pour l’analyse multivari\u00e9s des donn\u00e9es: analyse de la variance a plusieurs facteurs, r\u00e9gression lin\u00e9aire multiple, r\u00e9gression logisitque binaire.\n
Techniques de bases pour la classification non-supervis\u00e9e: analyse en composantes principales (ACP), classification hi\u00e9rarchique et m\u00e9thode des k-means.\n
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All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, Labor and Solidarity\n
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NB : les donn\u00e9es utilis\u00e9es pour la formation sont des donn\u00e9es benchmark et sont diversifi\u00e9es de mani\u00e8re \u00e0 int\u00e9resser un large public. <\/h1>\n

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ANALySE STATISTIQUE DES DONNEES AVEC LE LANGAGE R (Niveau 2)<\/h5>\n <\/div>\n <\/div>\n
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Rappels sur l’analyse des donn\u00e9es avec le langage R: Fonctions de visualisation , test de normalit\u00e9, tests classique, regression simple, lin\u00e9aire et non lin\u00e9aire, calcul de puissance et taille d’echantillon avec R.Analyse des donn\u00e9es\n experimentales : principes de l’experimentation, design et analyse des plans d’experience (packages easyanova, daewr).<\/p>\n

Classification non supervis\u00e9e (cluster analyses, k-means) (package cluster, mclust, pvclust). L\u2019Apprentissage Statistique (Statistical Learning): Mod\u00e8les de r\u00e9gression lin\u00e9aire et logistique multiples (package car, blorr). S\u00e9lection\n de mod\u00e8les : m\u00e9thodes progressives et par p\u00e9nalisation (package glmnet); validation et \u00e9valuation de la performance d\u2019un mod\u00e8le de pr\u00e9diction (package pROC) Les mod\u00e8les CART (arbres binaires) et les for\u00eats al\u00e9atoires (packages\n rpart, randomForest). Les classifieurs kNN et Bay\u00e9sien Na\u00eff (packages class, e1071).<\/p>\n

NB : les donn\u00e9es utilis\u00e9es pour la formation sont des donn\u00e9es benchmark et sont diversifi\u00e9es de mani\u00e8re \u00e0 int\u00e9resser un large public.<\/p>\n

All training course is recognied by the french authorities: Regional directorates of the economy, employment, labor and solidarity<\/p>\n <\/div>\n <\/div>\n

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Immuno-informatique: de la sequence au vaccin <\/h5>\n <\/div>\n <\/div>\n
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Module 1: appel de notion de base de l’immunologie fondamentale, notion d’antigene presentation de l’antigene, r\u00e9ponses immunitaires etc<\/p>\n

Module 2: predictions des \u00e9pitopes B et T<\/p>\n

Module 3: conception de s\u00e9quence vaccinale et verification de sa securit\u00e9, analyse de la stabilit\u00e9 et de la solubilit\u00e9 de la s\u00e9quence vaccinale concue. <\/p>\n

All training course is recognied by the french authorities: Regional directorates of the economy, employment, labor and solidarity<\/span><\/p>\n

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Analyse de donn\u00e9es transcriptomiques: Bulk RNA-seq”<\/h5>\n <\/div>\n <\/div>\n
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1\/ Rappels de biologie mol\u00e9culaire : ARN, expression g\u00e9nique, \u00e9pissage…<\/span><\/p>\n

2\/ Pr\u00e9paration des donn\u00e9es: contr\u00f4le qualit\u00e9 et pr\u00e9-traitement<\/span><\/p>\n

3\/ Alignement des reads et quantification de l\u2019expression<\/span><\/p>\n

4\/ Normalisation et analyses exploratoires (PCA, clustering, heatmaps)<\/span><\/p>\n

5\/ Analyse diff\u00e9rentielle et tests statistiques<\/span><\/p>\n

6\/ Visualisations des r\u00e9sultats: volcano plots, MA plots…<\/span><\/p>\n

7\/ Annotation fonctionnelle et analyse d\u2019enrichissement<\/span><\/p>\n

\ufeff<\/span>All training course is recognied by the french authorities: Regional directorates of the economy, employment,\n labor and solidarity<\/span>\n <\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

SEQUENCAGE NGS ET ANALYSE DES DONN\u00c9ES*** D\u00e9crire les principes fondamentaux du sequence NGS Expliquer le processus de preparation des echantillons pour le sequancage NGS Analyser et selectionner les donn\u00e9es Evaluer les differentes ethodes de sequencage NGS Presenter les resultas NGS All training course is recognised by the French authorities: Regional Directorates for the Economy, Employment, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"class_list":["post-997","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/997","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/comments?post=997"}],"version-history":[{"count":20,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/997\/revisions"}],"predecessor-version":[{"id":1485,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/997\/revisions\/1485"}],"wp:attachment":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/media?parent=997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}