{"id":6059,"date":"2024-10-28T12:02:58","date_gmt":"2024-10-28T11:02:58","guid":{"rendered":"https:\/\/ern-ithaca.eu\/?page_id=6059"},"modified":"2024-10-28T12:08:08","modified_gmt":"2024-10-28T11:08:08","slug":"mooc-bioinformatics","status":"publish","type":"page","link":"https:\/\/ern-ithaca.eu\/fr\/education\/mooc-bioinformatics\/","title":{"rendered":"MOOC \u201c bioinformatique \u201d"},"content":{"rendered":"

Le MOOC BiG \u201cIntroduction \u00e0 la bio-informatique et \u00e0 la m\u00e9decine g\u00e9nomique<\/strong>\u201d vise \u00e0 aborder tous les aspects bioinformatiques n\u00e9cessaires \u00e0 la production et \u00e0 l'interpr\u00e9tation de\u00a0S\u00e9quen\u00e7age \u00e0 haut d\u00e9bit\u00a0<\/strong>(HTS) ou\u00a0S\u00e9quen\u00e7age de nouvelle g\u00e9n\u00e9ration\u00a0<\/strong>les donn\u00e9es (NGS) au sein d'un\u00a0laboratoire de g\u00e9n\u00e9tique clinique<\/strong>\u00a0avec des exemples de\u00a0maladies rares et oncog\u00e9n\u00e9tique<\/strong>.<\/p>\n\n\n\n

Ce cours d'initiation s'adresse principalement \u00e0\u00a0les professionnels de sant\u00e9 qui ont recours \u00e0 la g\u00e9nomique<\/strong>. Son objectif est de fournir\u00a0s<\/strong>des contenus sp\u00e9cifiques et adapt\u00e9s leur permettant de comprendre les diff\u00e9rentes \u00e9tapes, du ph\u00e9notypage au diagnostic mol\u00e9culaire, et d\u2019adopter un regard critique sur les analyses tout en tenant compte des pi\u00e8ges et des limites du s\u00e9quen\u00e7age de nouvelle g\u00e9n\u00e9ration (NGS). Con\u00e7u par une \u00e9quipe fran\u00e7aise, il pr\u00e9sentera \u00e9galement les\u00a0fonctionnement de la fili\u00e8re g\u00e9nomique en France<\/strong>.<\/p>\n\n\n\n

Pour le grand public ou les personnes curieuses, l'objectif est de leur faire d\u00e9couvrir une technique qui joue un r\u00f4le de plus en plus important dans le\u00a0le diagnostic des maladies g\u00e9n\u00e9tiques.<\/strong><\/p>\n\n\n\n

Ce MOOC est organis\u00e9 par l'universit\u00e9 fran\u00e7aise Paris-Cit\u00e9 et b\u00e9n\u00e9ficie du soutien de l'ERN.<\/p>\n\n\n\n

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Format<\/h2>\n\n\n\n

Le MOOC sera \u00e0 son propre rythme. <\/strong>Les apprenants auront acc\u00e8s \u00e0 l'ensemble des contenus d\u00e8s le d\u00e9but. Chaque module p\u00e9dagogique explorera une \u00e9tape du traitement des donn\u00e9es NGS en abordant diff\u00e9rents th\u00e8mes, \u00e0 l'aide de vid\u00e9os en fran\u00e7ais sous-titr\u00e9es en anglais, de textes et d'exercices autocorrig\u00e9s. Des contenus interactifs, tels que des notebooks Jupyter bas\u00e9s sur Python, nous permettront d'approfondir l'interpr\u00e9tation du g\u00e9nome et la programmation.  <\/p>\n\n\n\n

La m\u00e9decine g\u00e9nomique et le s\u00e9quen\u00e7age de nouvelle g\u00e9n\u00e9ration (NGS) n\u00e9cessitant un large \u00e9ventail de comp\u00e9tences, nous vous sugg\u00e9rons de suivre ce MOOC \u00e0 votre rythme, en fonction de vos profil et objectifs p\u00e9dagogiques.<\/strong><\/p>\n\n\n\n

\u2013 Pour le d\u00e9butants,<\/strong> le module d'introduction \u201c Back to Basics \u201d vous guidera \u00e0 travers les principes fondamentaux de la g\u00e9n\u00e9tique, de la bio-informatique et de la m\u00e9decine g\u00e9nomique.<\/strong>
\u2013 Unit\u00e9 1 <\/strong>ensembles <\/strong>le contexte et int\u00e9ressera tous les apprenants, \u00e0 l'illustration du mod\u00e8le fran\u00e7ais.
\u2013 Unit\u00e9 2<\/strong> se situe \u00e0 la crois\u00e9e de la m\u00e9decine clinique, de la biologie, de la bioanalyse et de la bioinformatique. Il int\u00e9ressera tous ceux qui seront amen\u00e9s \u00e0 prescrire ou \u00e0 interpr\u00e9ter des r\u00e9sultats g\u00e9n\u00e9tiques, ainsi que les concepteurs de pipelines bioinformatiques.
\u2013 Unit\u00e9s 3, 4 et 5<\/strong> se concentrent de plus en plus sur la bioinformatique. Les bioinformaticiens seront en terrain connu, mais cela risque d\u2019\u00eatre plus difficile pour ceux qui n\u2019utilisent pas ces outils au quotidien.<\/p>\n\n\n\n

En r\u00e9sum\u00e9, Choisissez ce qui vous semble le plus utile ou suivez le guide !<\/strong><\/p>\n\n\n\n

En plus des cours, vous trouverez un forum d\u00e9di\u00e9 aux \u00e9changes en ligne entre les apprenants et l'\u00e9quipe p\u00e9dagogique.<\/p>\n\n\n\n

Pour en savoir plus sur ce MOOC et vous inscrire au cours AVANT LE 30 NOVEMBRE : BiG \u2013 Introduction \u00e0 la bio-informatique et \u00e0 la m\u00e9decine g\u00e9nomique \u2013 Cours \u2013 FUN MOOC<\/a><\/p>\n\n\n\n

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