RESOURCES AND TRAININGS ONLINE

Internal Training Pyramid In this collection of online resources you will find internal and external courses, and educational material for self-paced study. The courses are organized in four different categories:

  • Research & technology,
  • Open science & Responsible Research Innovation
  • Knowledge transfer
  • Career coaching
Everybody is encouraged to upload a course that might be of interest to the broader scientific community by sending an email to training@crg.eu or via this link HERE .


        
 
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Online TRAINING resources of interest                                              






  

Electronic Lab Notebook

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Link to the resource:
 $@COURSEVIEWBYID*7@$
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Elixir training resources

Here you will find the catalogue of training materials offered by ELIXIR.


Link to the resource:
 https://tess.elixir-europe.org/materials
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Epigenetic Control of Gene Expression

This course will give an introduction to the fundamentals of epigenetic control. It will examine epigenetic phenomena that are manifestations of epigenetic control in several organisms, with a focus on mammals and examine the interplay between epigenetic control and the environment and finally the role of aberrant epigenetic control in disease.


Link to the resource:
 https://www.coursera.org/learn/epigenetics?action=enroll&courseSlug=epigenetics&showOnboardingModal=check#about
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FOSTER open science

Here you will find more than 30 courses about different aspects of open science


Link to the resource:
 https://www.fosteropenscience.eu/courses
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Genomics in Healthcare

Gain insight into the role of genomic technologies across the breadth of medicine, with this flexible program of online courses from St George’s, University of London.


Link to the resource:
 Genomics in Healthcare
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IGC training programe in Bioinformatics

Here you will find material for the following courses organized by Instituto Gulbenkian de Sciencia:

  • Pratical Statistics for the Life Scientists
  • Entry level Bioinformatics
  • Analysis of Differential Expression using RNAseq
  • Proteomics Data Analysis
  • Computational PANgenomics
  • Population Genetics and Demographic History: model-based approaches
  • Integrative Biological Interpretation using Proteomics
  • 3C-based data analysis and 3D reconstruction of chromatin folding
  • Programing in Python for Biologists
  • Advanced Biostatistics for Bioinformatics Tool Users (using R)
  • Large Scale Bioinformatics for Immuno-Oncology
  • Molecular Epidemiology of Viruses in R

Link to the resource:
 http://gtpb.igc.gulbenkian.pt/bicourses/Course_materials.html
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Introduction to Bioinformatics for Medical doctors and other Healthcare professionals

Introduction to Bioinformatics for Medical doctors and other Healthcare professionals



Link to the resource:
 https://mooc.bios-project.eu/courses/course-v1:Bios+BioS1+2019/course/
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Introduction to Data Science

Online resources useful for learning or teaching data science, biostats and bioinformatics including 15 online courses. Topics include: R tidyverse Dataviz & ggplot2 Linux, GitHub Probability Inference & Modeling Regression Machine Learning Bioconductor


Link to the resource:
 http://rafalab.github.io/pages/teaching.html
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Introduction to Proteomics

Overview


This course introduces to the basic biology of proteins and the new advanced science called as proteomics which aims to look into the protein properties from a global perspective, i.e., not undertaking one protein at a time, but an entire set of proteins in the milieu. The course will cover in detail the two major aspects of proteomics i.e., Gel-based proteomics and Mass spectrometry-based proteomics. The gel-based module will cover different techniques like SDS-PAGE, 2-DE, 2D-DIGE etc. These techniques had a major contribution in transition from protein chemistry to proteomics. Mass spectrometry, on the other hand, is an advanced analytical technique for accurate mass measurement. In this module, we will discuss the basics of mass spectrometry, sample preparations, liquid chromatography, hybrid mass spectrometers and quantitative proteomics techniques such as iTRAQ, SILAC and TMT using mass spectrometry. The course will also provide the basic knowledge about sample preparation, mass spectrometry workflow, different chromatography technologies and quantitative proteomics.


INTENDED AUDIENCE: It would be applied to B.Sc., M.Sc. and MS.
PREREQUISITES: Any B.Sc. Or M.Sc.The target audiences of this course are required to have a basic introduction to biology.


Link to the resource:
 Introduction to Proteomics
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Introduction to R

Three modules on how to use R-Studio, learn and practice the basics in R, and perform basic plotting and data analysis.This course is aiming very beginners and is spread over 6 half day sessions.

Link to the resource:
 https://biocorecrg.github.io/CRG_RIntroduction/
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