Stage M2S3 (2020-2021)
Bonjour,
Merci de déposer votre proposition de stage pour le M2S3 BSIB 2020-2021.
Le stage se déroulera du entre novembre et décembre 2020 (4 semaines).
Ce stage peut-être adossé au stage de M2S4.
Responsable de l'équipe d'accueil
laporte
jocelyn
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0388653412
Personne encadrant le stage
Djeddi
Sarah
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0388653415
Lieu du stage
IGBMC
1 rue Laurent Fries
67404 Illkirch
1 rue Laurent Fries
67404 Illkirch
Sujet du stage
Multi-scale understanding of rare genetic diseases through bioinformatics and omics
Congenital myopathies are a class of rare genetic diseases characterized by muscle weakness from birth and abnormalities in muscle biopsies. There is currently no curative treatment for these diseases as the comprehension of the pathological mechanisms remains limited. Our team previously identified the genetic basis of several myopathies and characterized corresponding mouse models from which we generated transcriptomic and proteomic data. Preliminary treatments of the mouse models through genetic modulation and pharmacology have also been analyzed through omics.
To better understanding disease mechanisms and identify novel therapeutic targets, the student will integrate data from human and models at the molecular (transcriptomic, proteomic, interactome), cellular (histology and imaging) and physiological (phenotypes) levels. More specifically, the candidate will perform multi-omics analysis and splicing event detection in normal and in disease models. The candidate is expected to develop and improve bioinformatics tools to facilitate data analysis and visualization.
Expected profile: Proficient with R and Python programing languages as well as statistics. The candidate needs to be comfortable with the Unix environment. English required for presentations, reports and day to day life in the lab. Database skill (SQL) would be a plus.
Keywords: Multi-omics, RNA-seq, proteomic, splicing, multi-scale, genetic disease
To better understanding disease mechanisms and identify novel therapeutic targets, the student will integrate data from human and models at the molecular (transcriptomic, proteomic, interactome), cellular (histology and imaging) and physiological (phenotypes) levels. More specifically, the candidate will perform multi-omics analysis and splicing event detection in normal and in disease models. The candidate is expected to develop and improve bioinformatics tools to facilitate data analysis and visualization.
Expected profile: Proficient with R and Python programing languages as well as statistics. The candidate needs to be comfortable with the Unix environment. English required for presentations, reports and day to day life in the lab. Database skill (SQL) would be a plus.
Keywords: Multi-omics, RNA-seq, proteomic, splicing, multi-scale, genetic disease
"Mini-Stage en laboratoire" : 9 ECTS.
Descriptif
L'étudiant intègre pendant cette période une équipe de recherche et participe sous le contrôle d'un tuteur de stage aux travaux de recherche de l'équipe.
Durée : 4 semaines, temps complet.
Compétences visées
Connaissance par la pratique du métier de chercheur. Comprendre une stratégie de recherche et les solutions proposées. Mise en pratique des connaissances acquises en situation réelle.
Le contrôle des connaissances
Le contrôle des connaissances pour cette UE comporte 2 aspects :
- un rapport écrit (coefficient 2) (date de remise décembre 2020)
- une présentation orale (décembre 2020), la date sera précisée :
- exposé oral (coefficient 4)
- réponses aux questions (coefficient 3)