TRAINING FOR SCIENTISTS

Available courses

The CRG PhD course provides students with an overview of CRG and the major research topics in Gene Regulation, Cell and Systems Biology, and Bioinformatics programmes. The course includes lectures that provide general principles rather than highly specialized information, and may use examples of research accomplishments by CRG groups to help illustrate the approaches and implications of the results.

Date : October - November 2020
Level: Beginners

This course will focus on the preparation of next generation sequencing libraries for sequencing on the Illumina platform. The course will include a theoretical part about sequencing technologies and a practical part scheduled in two modules to be chosen: ChIP seq library preparation (NEBNext) and mRNA seq stranded library preparation (Illumina). The course will be taught by experienced instructors from the core facility who use these protocols on a daily basis.

The course will consist of a common theoretical part and two separate modules (mRNA seq and ChIP seq) which could be taken independently.


 A solution of Electronic Lab Notebook has been implemented in the CRG in order to replace the paper lab notebook and offer a new solution that improve the experimental data storage and boost the scientific collaborations and data exchange. The solution of ELN is based on Microsoft OneNote and OneDrive for Business / SharePoint.

3 levels of support are available in the CRG:

- The ELN Group Master: located in every group, they are supposed to be the first level of support for all the scientists
- The ELN Master: they are the second level of support and the main interface between the ELN Group Masters and the IT department
- The IT department: they are providing the technical support to the ELN Master and are taking care of the maintenance of the ELN platform


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Number of course hours : 8h
Date : September 2020
Level: Beginners
Topics Covered:

  • Introduction to Python and Jupyter Notebook
  • Basics of Python: syntax, objects, simple arithmetic
  • Python flow control: if...else statements, for and while loops
  • Data types: numbers, lists, strings, dictionaries
  • Functions in Python
  • Reading and writing files
  • Installing and using packages
  • Regular expressions
  • Introduction to Pandas and Numpy packages

Teachers: CRG Bioinformatics core facility
Duration: 8 interactive sessions Fridays 10:00-11:30 - CRG Training Center
Start date: 24th January 2020
End Date: 13th March 2020
Level: Beginners/ non bioinformaticians
Maximum nº students: 19

Topics covered:

  • DNA, gene, and protein sequences: Protein and gene databases
  • Sequence comparison
  • Genome sequences and annotations
  • Gene and protein function
  • Protein-DNA interactions
  • Gene expression
  • Functional annotation and gens sets

Advanced linux course for biologists and genomics data formats

Instructors:
Luca Cozzuto
Julia Ponomarenko
Sarah Bonnin

Learning objectives

To be able to:

  • Access genomics data from public repositories
  • Know different data formats used in genomics
  • Be able to use the Linux commands to parse and convert those formats


Topics that will cover the course:

  • Introduction to R and R Studio.
  • Basics of R: syntax, objects, simple arithmetic.
  • Data types and data structures.
  • How to use functions.
  • Reading and writing files.
  • Installing and using packages. Getting help.
  • Plots in R: base plotting and introduction to ggplot2 package.
  • Introduction to data analysis with R.
INSTRUCTORS (CRG Bioinformatics Core Facility):
Sarah Bonnin (Module 1, 2, 3)

Julia Ponomarenko (Module 4)

This course will allow any CRG student to perform basic bioinformatics and use the most common tools for their projects. Each topic includes 1-4 short assignments (15’ videos or short readings) that the students must undertake during the week before the actual session (of 1h) on Fridays. During the interactive session, the teachers answers questions and explains the next topic.

1st February 2018 - 26th March 2018


Modern Biology is becoming an increasingly quantitative discipline that requires a high degree of interdisciplinary interactions among scientists. Biologists usually face the most difficult part of interdisciplinary collaborations since the level of mathematics needed to develop a fruitful discussion is relatively high. The goal of this course is to introduce biologists to the most basic concepts of mathematics that are needed for the study of Calculus and to acquire a basic understanding of the language of mathematics to ease interdisciplinary communication.

Teacher: Juanjo Fraire Zamora

Number of course hours : 12h
Date : September-November 2020
Level: Beginners
Topics Covered:
  • The real numbers; - Lines in the plane; - Equation of the circle
  • Trigonometry; - Complex numbers and quadratic equations
  •  Simple and composite functions
  • Polynomial functions; - Rational functions
  • Power functions; - Exponential functions
  •  Inverse functions; - Logarithmic functions
  •  Trigonometric functions; - Graphing and basic transformation of functions
  • Logarithmic scale and transformation into linear functions

Modern Biology is becoming an increasingly quantitative discipline that requires a high degree of interdisciplinary interactions among scientists. Biologists usually face the most difficult part of interdisciplinary collaborations since the level of mathematics needed to develop a fruitful discussion is relatively high. The goal of this course is to introduce biologists to the most basic concepts of mathematics that are needed for the study of Calculus and to acquire a basic understanding of the language of mathematics to ease interdisciplinary communication.

Teacher: Juanjo Fraire Zamora - IRB Barcelona


Starting date: 13th September 2019

Finishing date: 15th November 2019



The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.


Number of course hours : 320h
Date : July-October 2020
Level: Beginners