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Introduction to R programming
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: DAVIDOVIC Andela
- 教師: LI Blaise
- 教師: MELLA Sébastien
Introduction to R programming
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: DAVIDOVIC Andela
- 教師: LI Blaise
- 教師: MELLA Sébastien
Session in French – Confidence intervals and Hypothesis testing: a little bit of theory and practice with R
6/11/2023 – Full day
8/11/2023 – Afternoon
9/11/2023 – Afternoon
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: CAMPAGNE Pascal
- 教師: MEYER Juliette
- 教師: OBADIA Thomas
Confidence intervals and Hypothesis testing: a little bit of theory and practice with R
11/04/2024 & 12/04/2024 – Full day
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: CAMPAGNE Pascal
- 教師: MEYER Juliette
- 教師: OBADIA Thomas
The basics of linear models with examples in R
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: JACQUEMET Elise
- 教師: VARET Hugo
The basics of linear models with examples in R
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: JACQUEMET Elise
- 教師: VARET Hugo
An introduction to multivariate statistical methods with examples in R
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: JULIENNE Hanna
- 教師: LAVILLE Vincent
- 教師: SAINT-ANDRE Violaine
- 教師: VOLANT Stevenn
An introduction to multivariate statistical methods with examples in R
- 教師: BARTHOME Eli
- 教師: BERTRAND Anthony
- 教師: JULIENNE Hanna
- 教師: LAVILLE Vincent
- 教師: SAINT-ANDRE Violaine
Objectives: knowing how to
Navigate the filesystem, identify files by their path, create, move, rename, delete files and directories
Extract information from text files
Objectives:
Understand biological information available online
Understand sequence comparisons using local alignment
Find information about unknown sequences, using online tools
- 教師: Bigot Thomas
- 教師: LOPEZ-MAESTRE Hélène
- 教師: MORNICO Damien
This course is intended to provide the students with the prerequisites needed to be able to follow the courses of the Bioinformatics track dedicated to the analysis of NGS data (B4, B5, B6, B7, B8, B9, B10, B11).
The course has three main parts:
1 - Main UNIX commands
2 - Main R commands / getting acquainted with R scripts and Rstudio
3 - Main Galaxy commands
- 教師: BAILLET Victoire
- 教師: LI Blaise
Objectives:
Understand the key concepts underlying the quantification and comparison of OMIC datasets
Perform the initial steps of most HTS data analysis
- 教師: BAILLET Victoire
- 教師: CHICA Claudia
Objectives:
Design a successful transcriptomics experiment
How to get differential expressed genes from raw data
- 教師: JACQUEMET Elise
- 教師: PERMAL Emmanuelle
Objectives:
Learn the key steps to obtain genetic reliable variants from raw sequencing reads
First applications : use filtered files of variants to perform basic analyses
- 教師: CAMPAGNE Pascal
- 教師: PAIN Adrien
Objectives:
Getting exposed to important applications in the analysis of genetic data, genomewide
Analysing genomic data with R and other popular software
- 教師: LAVILLE Vincent
- 教師: VAYSSE Amaury
Objective:
Be able to analyze ChIP-seq data from sequencing reads to functional interpretation
Objectives:
Get acquainted with the key concepts of scRNAseq raw data analysis, quantification, functional characterization and visualization.
- 教師: CHICA Claudia
- 教師: FISCHER Stephan
- 教師: JAGLA Bernd
- 教師: LOE MIE Yann
- 教師: MELLA Sébastien
- 教師: MIRABEAU Olivier
Objectives
Understand the key concepts of functional analysis
Perform functional analysis on RNA-Seq data on a simple design using R tools
- 教師: BARTHOME Eli
- 教師: PIETROSEMOLI Natalia
Objectives:
understand more complex but useful options and commands
learn regular expressions and few commands using them,
everything needed to create your firsts own scripts.
- 教師: GUGLIELMINI Julien
- 教師: Kende Julia
- 教師: MAILLET Nicolas
Using TrackMate for analysis of time-lapse microscopy movies.
This course is aimed at beginners in bioimage analysis, that wants to learn how to analyse time-lapse movies. Such movies can follow the movement of cells, in 2D or 3D over time, or the motility of organelles and large objects. They offer unique insight into the dynamics of biology objects, on the evolution of their morphology and of molecular processes, imaged via transmission light or fluorescence microscopy.
This half a day course includes a brief theoretical introduction about tracking algorithms, and is followed by a hands-on tutorial. For the tutorial we will use TrackMate (https://imagej.net/plugins/trackmate/), which is a somewhat popular Fiji plugin for tracking, developed in the Image Analysis Hub.
What do you need to attend:
- Your laptop, Mac or PC
- A mouse (mandatory)
- Fiji installed (https://fiji.sc)
- The following tutorial materials: https://dl.pasteur.fr/fop/ybFP2XYA/TrackMateTutorialMaterial.zip
For more information contact Jean-Yves.
Using TrackMate for analysis of time-lapse microscopy movies.
This course is aimed at beginners in bioimage analysis, that wants to learn how to analyse time-lapse movies. Such movies can follow the movement of cells, in 2D or 3D over time, or the motility of organelles and large objects. They offer unique insight into the dynamics of biology objects, on the evolution of their morphology and of molecular processes, imaged via transmission light or fluorescence microscopy.
This half a day course includes a brief theoretical introduction about tracking algorithms, and is followed by a hands-on tutorial. For the tutorial we will use TrackMate (https://imagej.net/plugins/trackmate/), which is a somewhat popular Fiji plugin for tracking, developed in the Image Analysis Hub.
What do you need to attend:
- Your laptop, Mac or PC
- A mouse (mandatory)
- Fiji installed (https://fiji.sc)
- The following tutorial materials: https://dl.pasteur.fr/fop/ybFP2XYA/TrackMateTutorialMaterial.zip
For more information contact Jean-Yves.
- 教師: LETORT Gaëlle
- 教師: TINEVEZ Jean-Yves
- 教師: RIGAUD Stephane
- 教師: TINEVEZ Jean-Yves
- 教師: PHAN Minh Son
- 教師: Phan Son
- 教師: TINEVEZ Jean-Yves
- 教師: RIGAUD Stephane
- 教師: TINEVEZ Jean-Yves
- 教師: RIGAUD Stephane
- 教師: TINEVEZ Jean-Yves
- 教師: PHAN Minh Son
- 教師: Phan Son
- 教師: TINEVEZ Jean-Yves
Tutorial on how to use QuPath for large fixed images analysis and in particular histopathological images.
- 教師: LETORT Gaëlle
- 教師: TINEVEZ Jean-Yves
- 教師: LETORT Gaëlle
- 教師: TINEVEZ Jean-Yves
Cours d'Introduction à la programmation en R
- 教師: GUILLEMOT Vincent
- 教師: Madec Yoann
Cours d'Introduction à la programmation en R
- 教師: GUILLEMOT Vincent
- 教師: Madec Yoann
Formation nationale centre antirabique
- 教師: BOURHY Hervé
- 教師: JELLAOUI Malika
- 教師: PARIZE Perrine
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