Topic 1
Topic 1
In this collection of online resources you will find internal and external courses, and educational material for selfpaced study. The courses are organized in four different categories:
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.
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
Teachers: CRG Bioinformatics core facility
Duration: 8 interactive sessions Fridays 10:0011:30  CRG Training Center
Start date: 24th January 2020
End Date: 13th March 2020
Level: Beginners/ non bioinformaticians
Maximum nº students: 19
Topics covered:
To be able to:
Topics that will cover the course:
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 14 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
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.