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M2 Genetics, Genomics, Epigenetics and Evolution (GenE2)

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  • Places available
    20
  • Language(s) of instruction
    English
Présentation
Objectives

This M2 is based on the M1" Biology and Health" ("Biologie-Santé"). All teaching units are shared in M1 and organized into platforms, grouped into five major scientific areas. The platforms recommended in M1 are "Genetics, Molecular and Cellular Biology" and "Microbiology" and the International M1 of "Biology and Health".
By following this curriculum, students will be able to:
- master the basic concepts and methods used in genetics, genomics, epigenetics and evolution, as well as the methods associated with these disciplines;
- Define and carry out all the steps involved in an experimental (epi) genetic and (epi) genomic approach;
- use the basic concepts of high-throughput data analysis;
- identify, choose and apply existing tools in bioinformatics and biostatistics to analyze high- throughput data;
- to summon and integrate knowledge and results in order to present them in writing and orally, to develop a scientifically critical mind allowing to perceive the limits of an analysis
- master the methods of working in the laboratory: team work, scientific rigor, autonomy, communication, laboratory safety rules.

Visit our website: http://www.gene2.fr/

Location
ORSAY
GIF SUR YVETTE
PARIS 05
PARIS 15
EVRY
Course Prerequisites

The international Master's 2 GenE2 is aimed at students in Biology, Medicine, Pharmacy, or any other relevant scientific curriculum, who wish to acquire skills in the manipulation, processing and statistical analysis of high-throughput sequencing data. This course is suitable for students interested in the concepts and technologies of genetics, genomics, epigenetics and epigenomics integrating structural, functional and evolutionary aspects.

Skills
  • Master the basic concepts and methods used in genetics, genomics, epigenetics and evolution, as well as the methods associated with these disciplines.

  • Define and carry out all the steps involved in an experimental (epi) genetic and (epi) genomic approach.

  • Use the basic concepts of high-throughput data analysis;.

  • Identify, choose and apply existing tools in bioinformatics and biostatistics to analyze high- throughput data;.

  • Summon and integrate knowledge and results in order to present them in writing and orally, to develop a scientifically critical mind allowing to perceive the limits of an analysis.

  • Master the methods of working in the laboratory: team work, scientific rigor, autonomy, communication, laboratory safety rules.

Post-graduate profile

At the end of the GenE2 M2, students will have acquired a dual competence in biology and data analysis.

Career prospects

Main career opportunities/Employability

PhD, higher technician, data analyst ...
In basic or applied research in the academic sector (Paris-Saclay, ENS, Institut Pasteur, Institut Curie, Institut Jacques Monod, Genopole ...) or R & D in the private sector, in France or abroad, in many fields (gene therapy, biotechnology, oncology, ecology, data analysis ...).

Areas of research
Bioinformatics, genetic counseling, teaching, scientific communication, patenting ...

Collaboration(s)
Laboratories

Génétique Quantitative et Evolution - Le Moulon
Ecologie Systématique et Evolution
Evolution, génomes, comportement et écologie
Institut des Sciences des Plantes de Paris-Saclay
Institut des Neurosciences Paris Saclay
Institute for Integrative Biology of the Cell - DRF/JOLIOT
Stress génotoxique et cancer
MICrobiologie de l'ALImentation au Service de la Santé Humaine
Signalisation normale et pathologique de l'embryon aux thérapies innovantes des cancers
Génétique Animale et Biologie Intégrative.

Programme

Le premier semestre sera dédié à l'acquisition de la double compétence en biologie et à l'analyse de données haut débit. En génétique/génomique, épigénétique/épigénomique et évolution, les UEs sont organisées sous forme de conférences par des spécialistes de ces domaines. L'analyse des données haut débit, quant à elle, se fera sous d'ateliers pratiques et ne nécessite aucune formation préalable en informatique et en statistique.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
ARN non-codants et épigénétique / ncRNA and Epigenetics 3 25
Big Data Workshop 12 12 8 110
ChIP-seq Worksop 3 25
Génomes, phénotypes et populations / Genomes, Phenotypes and Populations 3 20 5
Génomique fonctionnelle / Functional Genomics 3 25
Optional Teaching Units (6 ECTS or 2 X 3 ECTS) 6 50
Scientific Project (3 ECTS) 3 20 25
Stabilité et évolution des génomes / Genome Stability and Evolution 3 25
UE libre 3 25

Stage en laboratoire.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Lab internship 30 26
Modalités de candidatures
Application period
From 01/02/2024 to 19/04/2024
From 13/05/2024 to 01/07/2024
Compulsory supporting documents
  • Motivation letter.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

  • Curriculum Vitae.

Additional supporting documents
  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

  • The application procedure, which depends on your nationality and your situation is explained here : https://urlz.fr/i3Lo.

  • Supporting documents :
    - Residence permit stating the country of residence of the first country
    - Or receipt of request stating the country of first asylum
    - Or document from the UNHCR granting refugee status
    - Or receipt of refugee status request delivered in France
    - Or residence permit stating the refugee status delivered in France
    - Or document stating subsidiary protection in France or abroad
    - Or document stating temporary protection in France or abroad.

Contact(s)
Course manager(s)
Administrative office
Admission